Publications

Journal publications  (Student names are underlined)

J1.        Pallavi Gupta, Jamal Saied Walker, Laurel Despins, David Heise, James Keller, Marjorie Skubic, Ruhan Yi, and Grant J. Scott. “A Semi-Supervised Approach to Unobtrusively Predict Abnormality in Breathing Patterns Using Hydraulic Bed Sensor Data in Older Adults Aging-in-place”, Journal of Biomedical Informatics, vol. 147, Nov 2023. https://www.sciencedirect.com/science/article/pii/S1532046423002514

J2.        Proffitt, R.; Ma, M.; Skubic, M. Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation. Sensors 2023, 23, 7872. https://doi.org/10.3390/s23187872

J3.        Mohamed Zaid, Lorenzo Sala, Laurel Despins, David Heise, Mihail Popescu, Marjorie Skubic, Salman Ahmad, Craig A. Emter, Virginia Huxley, and Giovanna Guidoboni, “Cardiovascular sex-differences: Insights via physiology-based modeling and potential for noninvasive sensing via ballistocardiography,” accepted for publication in Frontiers in Cardiovascular Medicine, 2023.

J4.         M Zaid, M Popescu, L Despins, M Skubic, G Guidoboni, “Noninvasive cuffless blood pressure monitoring: How mechanism-driven and data-driven models can help in clinical practice, Journal of Cardiology and Cardiovascular Medicine, 2023, 8:081-085.

J5.        D.M. Brogan, A. Anaz, M. Skubic, C. J. Dy, & J. Bridgeman, “A System for Automated Acquisition of Digital Flexion Using a 3-D Camera and Custom Gantry,” Hand Therapy, 2022;27(3):91-99. doi:10.1177/17589983221110916.

J6.        A.K. Mishra, M. Skubic, L.A. Despins, M. Popescu, J. Keller, M. Rantz, C. Abbott, M. Enayati, S. Shalini, S. Miller, “Explainable Fall Risk Prediction in Older Adults Using Gait and Geriatric Assessments,” Frontiers Digital Health, 2022 May 6;4:869812. doi: 10.3389/fdgth.2022.869812. PMID: 35601885; PMCID: PMC9120414.

J7.        M. Zaid, L. Sala, J.R. Ivey, D.L. Tharp, C.M. Mueller, P.K. Thorne, S.C. Kelly, K.A. Santos Silva, A.R. Amin, P. Ruiz-Lozano, M.S. Kapiloff, L. Despins, M. Popescu, J. Keller, M. Skubic, S. Ahmad, C.A. Emter, G. Guidoboni, “Mechanism-driven modeling to aid noninvasive monitoring of cardiac function via ballistocardiography,” Frontiers in Medical Technology, 4 (2022) Article 788264.

J8.        R. Proffitt, M. Ma, and M. Skubic, “Novel Clinically-Relevant Assessment of Upper Extremity Movement Using Depth Sensors,” Topics in Stroke Rehabilitation, published online 1-4-2022 https://doi.org/10.1080/10749357.2021.2006981.

J9.        Marazzi N.M., Guidoboni G, Zaid M, Sala L, Ahmad S, Despins L, Popescu M, Skubic M and Keller J (2022) Combining Physiology-Based Modeling and Evolutionary Algorithms for Personalized, Noninvasive Cardiovascular Assessment Based on Electrocardiography and Ballistocardiography. Frontiers in Physiology. 12:739035. doi: 10.3389/fphys.2021.739035.

J10.      I. Jahnke, N. Riedel, M. Popescu, M. Skubic, & M. Rantz. “Social Practices of Nurse Care Coordination Using Sensor Technologies - Challenges with an Alert System Adoption in Assisted Living Communities for Older Adults,” International Journal of Nursing Sciences, 2021 Jul 10; 8(3): 289–297.  

J11.    C. Jiao, C. Chen, S. Gou, D. Hai, B.-Y. Su, M. Skubic, L. Jiao, A. Zare, and K.C. Ho, “Non-invasive Heart Rate Estimation from Ballistocardiograms using Bidirectional LSTM Regression,” IEEE J. of Biomedical and Health Informatics, 2021 Sep;25(9):3396-3407. doi: 10.1109/JBHI.2021.3077002.

J12.    I. Jahnke, L. Phillips, F. Demir, C. Abbott & M. Skubic, “A Fall Risk Evaluation and Feedback System for Older Adults – From a Technical to a Sociotechnical Need,” Intl. Journal of Sociotechnology and Knowledge Development, 2021, 13(2), 105-118. 

J13.  W. Wu, J.M. Keller, M. Skubic, M. Popescu & K.R. Lane, “Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensors Data Streams,” ACM Transactions on Computing for Healthcare, 2(3), Article No. 22, pp. 1-23, 2021.

J14.  A. Ullal, B.-Y. Su, M. Enayati, M. Skubic, L. Despins, M. Popescu & J. Keller, “Non-Invasive Monitoring of Vital Signs for Older Adults Using Recliner Chairs,” Health and Technology, 11, pp. 169-184, 2021 (published online: Nov. 5, 2020). https://doi.org/10.1007/s12553-020-00503-9.

J15.      Mishra AK, Skubic M, Popescu M, Lane K, Rantz M, Despins LA, Abbott C, Keller J, Robinson EL, Miller S. (2020). Tracking personalized functional health in older adults using geriatric assessment. BMC Medical Informatics and Decision Making. 20:270. https://doi.org/10.1186/s12911-020-01283-y.

J16.  L.A. Despins, G. Guidoboni, M. Skubic, L. Sala, M. Enayati, J.M. Keller, M. Popescu, C.B. Deroche, “Using sensor signals in the early detection of heart failure: A case study,” Journal of Gerontological Nursing, 2020; 46(7), 41-46. doi: 10.3928/00989134-20200605-07.

J17.      T.M. Ward, M. Skubic, M. Rantz & A. Vorderstrasse, “Human-Centered Approaches that Integrate Sensor Technology across the Lifespan: Opportunities and Challenges,” Nursing Outlook, 68(6):734-744, 2020.

J18.  Robinson, E.L., Park, G., Skubic, M., Lane, K., & Rantz, M. (2020). Technology for healthy independent living: Creating a tailored in-home sensor system for older adults and family caregivers. Journal of Gerontological Nursing.  2020; 46(7):35-40.  https://doi.org/10.3928/00989134-20200605-06.

J19.      G. Guidoboni, L. Sala, M. Enayati, R. Sacco, M. Szopos, J. Keller, M. Popescu, L. Despins, V.H. Huxley, M. Skubic, “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling,” IEEE Trans. on Biomedical Engineering, 66(10): 2906-2917, October, 2019.

J20.      Su B-Y, Enayati M, Ho K-C, Skubic M, Despins D, Keller J, Popescu M, Guidoboni G & Rantz M, “Monitoring the Relative Blood Pressure Using a Hydraulic Bed Sensor System,” IEEE Trans. on Biomedical Engineering, 66(3): 740-748, March, 2019. doi: 10.1109/TBME.2018.2855639.

J21.      P. Newland, A. Salter, A. Flach, L. Flick, F. Thomas, E. Gulick, M. Rantz, M. Skubic, “Associations between Self-Reported Symptoms and Gait Parameters Using In-Home Sensors in Persons with Multiple Sclerosis,” Rehabilitation Nursing Journal, pre-print available online, January 14, 2019, https://journals.lww.com/rehabnursingjournal/Abstract/publishahead/Associations_Between_Self_Reported_Symptoms_and.99779.aspx

J22.      M. Ma, R. Proffitt, M. Skubic, “Validation of Kinect V2 in a Full-Body Virtual Reality Rehabilitation Game,” PLOS ONE, 13(8): e0202338, 2018, https://doi.org/10.1371/journal.pone.0202338

J23.      B.W. Willis, K.J. Hocker, S.S. Razu, A.D. Gray, M. Skubic, S.L. Sherman, S.L. Kurkowski, and T.M. Guess, “Relationship between Two-Dimensional Frontal Plane Measures and the Knee Abduction Angle during the Drop Vertical Jump,” Journal of Sport Rehabilitation, 2018 Nov, 13:1-14. doi: 10.1123/jsr.2018-0017.

J24.      C. Jiao, B.-Y. Su, P. Lyons, A. Zare, K.C. Ho, M. Skubic, “Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms,” IEEE Trans. on Biomedical Engineering, 65(11), 2634-2648, 2018.

J25.      Grace Campbell and Marjorie Skubic, “New Frontiers in Functional Assessment for Cancer Survivors: Sensor-Based Assessment of Neuropathy-Related Balance and Gait Impairment,” Clinical Journal of Oncology Nursing, 2018, 22(3), 316-325. doi: 0.1188/18.CJON.

J26.      B.-Y. Su, K.C. Ho, M. Rantz, and M. Skubic, “Radar Placement for Fall Detection: Signature and Performance,” Journal of Ambient Intelligence and Smart Environments, 10(1):21-34, 2018.

J27.      B.W. Willis, S. Razu, K. Baggett, A. Jahandar, A.D. Gray, M. Skubic, S.L. Sherman, K. Blecha, T.M. Guess, “Sex Differences in Frontal and Transverse Plane Hip and Knee Kinematics During the Modified Star Excursion Balance Test,” Human Movement, Published Online: 2017-10-31 | DOI: https://doi.org/10.1515/humo-2017-0028.

J28.      Newland, Pamela; Kimutis, Alyssa; Salter, Amber; Flick, Louise; Thomas, Florian P.; Rantz, Marilyn; Skubic, Marjorie, Continuous In-Home Symptom and Mobility Measures for Individuals with Multiple Sclerosis: A Case Presentation. Journal of Neuroscience Nursing. 49(4):241-246, 2017. doi:10.1097/JNN.0000000000000299. PubMed PMID: 28661948

J29.  Gray AD, Willis BW, Skubic M, Huo Z, Razu S, Sherman S, Guess T, Jahandar A, Gulbrandsen T, Miller S, Siesner N. “Development and Validation of a Portable and Inexpensive Tool to Measure the Drop Vertical Jump using the Microsoft KinectTM V2.” Sports Health, August 2017, DOI: 10.1177/1941738117726323.

J30.      R. Wallace, C. Abbott, C. Gibson-Horn, M. Rantz, and M. Skubic, “Metrics from In-Home Sensor Data to Assess Gait Change Due to Weighted Vest Therapy,” Smart Health, vol. 3-4, pp. 1-19, Sept., 2017.

J31.  Rantz, M, Phillips, LJ, Galambos, C, Lane, K, Alexander, GL, Despins, L, Koopman, RJ, Skubic, M, Hicks, L, Miller, S, Harris, BH, Deroche, CB. Randomized trial of intelligent sensor system for early illness alerts in senior housing. Journal of American Medical Directors Association, 18(10):860-870, 2017. http://dx.doi.org/10.1016/j.jamda.2017.05.012

J32.      C. Galambos, M. Rantz, J. Back, J.S. Jun, M. Skubic, and S. Miller, “Older Adults’ Perceptions and Preferences of a Fall Risk Assessment System: Exploring a Stages of Acceptance Model,” Computers, Informatics, Nursing, vol. 35, no. 7, pp. 331-337, July 2017, doi: 10.1097/CIN.0000000000000330.

J33.  P. Calyam, I. Jahnke, A. Mishra, R. Bazan Antequera, D. Chemodanov, M. Skubic, “Towards an Eldercare Living Lab for Sensor-Based Health Assessment and Physical Therapy,” IEEE Cloud Computing, vol. 4, no. 3, June 2017, pp. 30-39.

J34.      Banerjee T, Yefimova M, Keller J, Skubic M, Woods DL, & Rantz M, "Exploratory analysis of older adults’ sedentary behavior in the primary living area using Kinect depth data," Journal of Ambient Intelligence and Smart Environments, vol. 9, pp. 163-179, 2017.

J35.      Rui L, Chen S, Ho KC, Rantz M, & Skubic M. Estimation of human walking speed by Doppler radar for elderly care," Journal of Ambient Intelligence and Smart Environments, vol. 9, pp. 181-191, 2017

J36.      L. Rosales, Bo-Yu Su, M. Skubic, and K.C. Ho, “Heart Rate Monitoring Using Hydraulic Bed Sensor Ballistocardiogram,” Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 2, pp. 193-207, 2017.

J37.      T.M. Guess, S. Razu, A. Jahandar, M. Skubic, Z. Huo. Comparison of 3D Joint Angles Measured with the Kinect 2.0 Skeletal Tracker Versus a Marker Based Motion Capture System. Journal of Applied Biomechanics. 2016:1-18.

J38.  L. Liu, M. Popescu, M. Skubic, M. Rantz, and P. Cuddihy, “An Automatic In-Home Fall Detection System Using Doppler Radar Signatures,” Journal of Ambient Intelligence and Smart Environments, vol. 8, no. 4, pp. 453-466, July 2016.

J39.  P. Newland, J.M. Wagner, A. Salter, F.P. Thomas, M. Skubic, and M. Rantz, Exploring the Feasibility and Acceptability of Sensor Monitoring of Gait and Falls in the Homes of Persons with Multiple Sclerosis, Gait and Posture, vol. 49, pp. 277-282, Sept. 2016. doi:10.1016/j.gaitpost.2016.07.005. Epub 2016 Jul 7. PubMed PMID: 27474948

J40.  Phillips, L. J., Deroche, C., Rantz, M., Alexander, G. L., Skubic, M., Despins, L., Abbott, C., Harris, B. H., Galambos, C., & Koopman, R. “Using embedded sensors in independent living to predict gait changes and falls,” Western Journal of Nursing Research, July 2016 (epub).

J41.  P. Calyam, A. Mishra, R. B. Antequera, D. Chemodanov, A. Berryman, K. Zhu, C. Abbott, and M. Skubic, “Synchronous Big Data Analytics for Personalized and Remote Physical Therapy,” Pervasive and Mobile Computing – Special Issue on Big Data Analytics for Smarter Health Care, June 2016, vol. 28, issue C, pp. 3-20, available on-line, Sept. 28, 2015.

J42.  M. Rantz, K. Lane, L.J. Phillips, L.A. Despins, C. Galambos, G.L. Alexander, R.J. Koopman, M. Skubic, and S.J. Miller, “Enhanced RN Care Coordination with Sensor Technology: Impact on Length of Stay in Aging in Place Housing,” Nursing Outlook, 2015, vol. 63, pp.650-655. Available online 8 Sept 20­­15, http://www.sciencedirect.com/science/article/pii/S0029655415002675

J43.  P. Savvidou, M. Li, B. Willis, and M. Skubic, “Assessing Injury Risk in Pianists: Using Objective Measures to Promote Self-Awareness,” Music Teachers National Association (MTNA) e-Journal, November 2015, Awarded Best Paper for 2015.

J44.    Banerjee T, Keller JM, Popescu M, and Skubic M, Recognizing Complex Instrumental Activities of Daily Living Using Scene Information and Fuzzy Logic.” Computer Vision and Image Understanding, 2015, vol. 140, pp. 68-82.

J45.    M. Skubic, R.D. Guevara, and M. Rantz, “Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment,” IEEE Journal of Translational Engineering in Health and Medicine, 2015, vol. 3, pp. 1-11.

J46.      Bo-Yu Su, K. C. Ho, M. Rantz, and M. Skubic, “Doppler Radar Fall Activity Detection Using the Wavelet Transform,” IEEE Trans. on Biomedical Engineering, 2015, vol. 62, no. 3, pp. 865-875.

J47.      M. Rantz, M. Skubic, C. Abbott, C. Galambos, M. Popescu, J. Keller, E. Stone, J. Back, S.J. Miller, and G.F. Petroski, “An automated in-home fall risk assessment and detection sensor system for older adults,” The Gerontologist, 2015, vol. 55, no. S1, pp. S78-S87.

J48.      E.E. Stone, M. Skubic, M. Rantz, C. Abbott, and S. Miller, “Average In-Home Gait Speed: Investigation of a New Metric for Mobility and Fall Risk Assessment of Elders” Gait and Posture, 2015, vol. 41, pp. 57-62.

J49.      E.E. Stone and M. Skubic, “Fall Detection in Homes of Older Adults Using the Microsoft Kinect,” IEEE Journal of Biomedical and Health Informatics, 2015, vol. 19, no. 1, pp. 290-301.

J50.      M.J. Rantz, M. Skubic, M. Popescu, C. Galambos, R.J. Koopman, G.L. Alexander, L. Phillips, K. Musterman, J. Back, and S.J. Miller, “A New Paradigm of Technology-Enabled “Vital Signs” for Early Detection of Health Change,” Gerontology, 2015, vol. 61, no. 3, pp. 281-290 (published on-line Nov. 2014).

J51.      F. Wang, M. Skubic, M. Rantz, T. Yardibi, and P. Cuddihy, “Quantitative Gait Measurement with Pulse-Doppler Radar for Passive In-Home Gait Assessment,” IEEE Transactions on Biomedical Engineering, 2014, 61(9): 2434-2443.

J52.  T. Banerjee, M. Skubic, J. M. Keller, & C. C. Abbott, “Sit-To-Stand Measurement for In Home Monitoring Using Voxel Analysis”, IEEE Journal of Biomedical and Health Informatics, 2014, 18(4): 1502-1509.

J53.      M.J. Rantz, T.S. Banerjee, E. Cattoor, S.D. Scott, M. Skubic, and M. Popescu, “Automated Fall Detection with Quality Improvement “Rewind” to Reduce Falls in Hospital Rooms,” Journal of Gerontological Nursing, 2014, 40(1): 13-17.

J54.      L. Carlson, M. Skubic, J. Miller, Z. Huo, and T. Alexenko, “Strategies for Human-Driven Robot Comprehension of Spatial Descriptions by Older Adults in a Robot Fetch Task,” Topics in Cognitive Science, special issue on human-robot interaction, 2014, 6(3): 513-533.

J55.      T. Banerjee, J. M. Keller, M. Skubic, and E. Stone, “Day or Night Activity Recognition from Video Using Fuzzy Clustering Techniques,” IEEE Transactions on Fuzzy Systems, 2014, 22(3): 483-493.

J56.      J. Krampe, S. Miller, C. Echebiri, M. Rantz, and M. Skubic, “Nighttime Restlessness During Daytime Dance Therapy: An Exploratory Study Using Bed Sensors” Western Journal of Nursing Research, 2014, 36(3): 362-373.

J57.      E. E. Stone and M. Skubic, “Unobtrusive, Continuous, In-Home Gait Measurement Using the Microsoft Kinect,” IEEE Transactions on Biomedical Engineering, 2013, 60(10): 2925-2932.

J58.      M.J. Rantz, M. Skubic, C. Abbott, C. Galambos, Y. Pak, D.K. Ho, E.E. Stone, L. Rui, J. Back, and S.J. Miller, “In-Home Fall Risk Assessment and Detection Sensor System,” Journal of Gerontological Nursing, 2013, 39(7): 18-22.

J59.      M.J. Rantz, S.D. Scott, S.J. Miller, M. Skubic, L. Phillips, G. Alexander, R.J. Koopman, K. Musterman, and J. Back, “Evaluation of health alerts from an early illness warning system in independent living”, CIN: Computer, Informatics, Nursing, 2013, 31(6): 274-280.

J60.      Rantz MJ, Skubic M, Miller SJ, Galambos C, Alexander G, Keller J & Popescu M, "Sensor Technology to Support Aging in Place," Journal of the American Medical Directors Association, 2013, 14(6):386-391.

J61.      A. Buck, J. Keller, and M. Skubic, “A Memetic Algorithm for Matching Spatial Configurations with the Histograms of Forces”, IEEE Transactions on Evolutionary Computation, 2013, 17(4): 588-604.

J62.      C. Galambos, M. Skubic, S. Wang, and M. Rantz, "Management of dementia and depression utilizing in-home passive sensor data," Gerontechnology, 2013, 11(3):475-468.

J63.      F. Wang, M. Skubic, E. Stone, and J. Keller, “Towards a Passive Low-Cost In-Home Gait Assessment System for Older Adults,” IEEE Journal of Biomedical and Health Informatics, 2013, 17(2): 346-355.

J64.      M.J. Rantz, M. Skubic, R.J. Koopman, G. Alexander, L. Phillips, K.I. Musterman, J.R. Back, M.A. Aud, C. Galambos, R.D. Guevara, and S.J. Miller, “Automated Technology to Speed Recognition of Signs of Illness in Older Adults,” Journal of Gerontological Nursing, 2012, 38(4):18-23.

J65.      S. Wang, M. Skubic, and Y. Zhu, “Activity Density Map Visualization and Dis-Similarity Comparison for Eldercare Monitoring,” IEEE J. of Biomedical and Health Informatics, 2012, 16(4): 607-614.

J66.      Stone E and Skubic M, "Evaluation of an Inexpensive Depth Camera for In-Home Gait Assessment," Journal of Ambient Intelligence and Smart Environments, 2011, 3(4):349-361.

J67.      G.L. Alexander, B. Wakefield, M. Rantz, M.A. Aud, M. Skubic, S. Erdelez, and S.A. Ghenaimi, “Passive Sensor Technology Interface to Assess Elder Activity in Independent Living,” Journal of Nursing Research, 2011, 60(5):318-325.

J68.      G.L. Alexander, M. Rantz, M. Skubic, R.J. Koopman, L.J. Phillips, R.D. Guevara, and S.J. Miller, “Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living,” Journal of Healthcare Engineering, 2011, 2(2):259-286.

J69.      M.J. Rantz, M. Skubic, G.L. Alexander, M.A. Aud, B.J. Wakefield, R.J. Koopman, and S.J. Miller, “Improving Nurse Care Coordination,” CIN: Computers Informatics Nursing, 2010, 28(6):325-332.

J70.  T.C. Havens, G.L. Alexander, C.C. Abbott, J.M. Keller, M. Skubic, and M. Rantz, "Tracking exercise motions of older adults using contours," J. of Applied Computer Science Methods, 2010, 1(2):21-42.

J71.  M.J. Rantz, M. Skubic, G. Alexander, M. Popescu, M. Aud, R. Koopman, and S. Miller, "Developing a Comprehensive Electronic Health Record to Enhance Nursing Care Coordination, Use of Technology, and Research," Journal of Gerontological Nursing 2010, 36(1):13-17.

J72.     Krampe J, Rantz MJ, Dowell L, Schamp R, Skubic M, Abbott C. Dance-Based Therapy in a Program of All-inclusive Care for the Elderly: An Integrative Approach to Decrease Fall Risk Nursing Administrative Quarterly, 2010, 34(2): 156-161.

J73.  Demiris, G, Parker Oliver, D, Giger, J, Skubic, M & Rantz, M (2009) Older adults’ privacy considerations for vision based recognition methods of technology applications in eldercare, Technology and Health Care, 2009, 17(1):41-48.

J74.  M. Skubic, G. Alexander, M. Popescu, M. Rantz, and J. Keller, "A Smart Home Application to Eldercare: Current Status and Lessons Learned," Technology and Health Care, 2009, 17(3):183-201.

J75.     D. Anderson, R.H. Luke, J. Keller, M. Skubic, M. Rantz and M. Aud, “Modeling Human Activity from Voxel Person Using Fuzzy Logic,” IEEE Transactions on Fuzzy Systems, 2009, 17(1):39-49.

J76.     D. Anderson, R.H. Luke, J. Keller, M. Skubic, M. Rantz and M. Aud, “Linguistic Summarization of Video for Fall Detection Using Voxel Person and Fuzzy Logic,” Computer Vision and Image Understanding, 2008, 113:80-89.

J77.  K.L. Courtney, G. Demiris, M. Rantz, and M. Skubic, “Needing Smart Home Technologies: The Perspective of Older Adults in Continuing Care Retirement Communities,” Informatics in Primary Care, 2008, 16(3):195-201.

J78.  G.L. Alexander, E. Florea, M. Skubic, M.J. Rantz, M.A. Aud, B.J. Wakefield, et al., “Sensor Systems for monitoring functional status in assisted living facility residents,” Research in Gerontological Nursing, Oct., 2008, 1:4.

J79.  G. Demiris, D. Parker Oliver, B.K. Hensel, G. Dickey, M. Rantz, and M. Skubic, “Use of videophones for distant caregiving: An enriching experience for families and residents in long-term care,” Journal of Gerontological Nursing, 2008, 34(7):50-55.   

J80.  G. Demiris, D. Parker Oliver, G. Dickey, M. Skubic, and M. Rantz,  ”Findings from a Participatory Evaluation of a Smart Home Application for Older Adults,” Technology and Health Care, 2008, 16:111-118.

J81.  S.M. Arafat and M. Skubic, “Modeling Fuzziness Measures for Best Wavelet Selection,” IEEE Transactions on Fuzzy Systems, 2008, 16(5):1259-1270.

J82.  M. Rantz, M. Aud, G. Alexander, B. Wakefield, M. Skubic, R.H. Luke, D. Anderson, and J.K. Keller, “Falls, Technology, and Stunt Actors: new Approaches to Fall Detection and Fall Risk Assessment,” Journal of Nursing Care Quality, July-Sept 2008, 23(3):195-201.

J83.  M.J. Rantz, R. Porter, D. Cheshier, D. Otto, C.H. Servey, R.A. Johnson, M. Skubic, H. Tyrer, Z. He, G. Demiris, J. Lee, G. Alexander, and G. Taylor, “TigerPlace, a State-Academic-Private Project to Revolutionize Traditional Long Term Care,” Journal of Housing for the Elderly, 2008, 22(1/2):66-85.

J84.  G. Demiris, B.K. Hensel, M. Skubic, and M.J. Rantz, “Senior residents’ perceived need of and preferences for “smart home” sensor technologies,” International Journal of Technology Assessment in Health Care, 2008, 24(1):120-124.

J85.  M. Skubic, D. Anderson, S. Blisard, D. Perzanowski, and A. Schultz, “Using a Hand-Drawn Sketch to Control a Team of Robots,” Autonomous Robots, May 2007, 22(4):399-410.

J86.  K. Keegan, J. Satterley, M. Skubic, Y. Yonezawa, J. Cooley, D. Wilson, and J. Kramer, “Use of Gyroscopic Sensors for Objective Evaluation of Trimming and Shoeing to Alter Time Between Heel and Toe Lift-off at End of the Stance Phase in Horses Walking and Trotting on a Treadmill,” American Journal of Veterinary Research, Dec 2005, 66(12):2046-2054.

J87.  D. Sofge, M. Bugajska, J. G. Trafton, D. Perzanowski, S. Thomas, M. Skubic, S. Blisard, N. Cassimatis, D. Brock, W. Adams, and A. Schultz, “Collaborating with Humanoid Robots in Space,” in International Journal of Humanoid Robotics, P. Vadakkepat (Ed.), June 2005, 2(2):181-201, World Scientific Publishing.

J88.  M. Skubic, “Qualitative Spatial Referencing for Natural Human-Robot Interfaces,” invited paper for Interactions, special issue on Human-Robot Interaction, March-April 2005, 12(2):27-30.

J89.  M.J. Rantz, M.A. Aud, K.D. Marek, G. Demiris, H.W. Tyrer, M. Skubic, and A.A. Hussam, “A Technology and Nursing Collaboration to Help Older Adults Age in Place,” Nursing Outlook, 2005, 53:40-5.

J90.  K. Keegan, A. Arafat, M. Skubic, D. Wilson, J. Kramer, N. Messer, P. Johnson, D. O’Brien, and G. Johnson, “Detection of spinal ataxia in horses using fuzzy clustering of body position uncertainty,” Equine Veterinary Journal, December 2004.

J91.  G. Demiris, M.J. Rantz, M.A. Aud, K.D. Marek, H.W. Tyrer, M. Skubic, and A.A. Hussam, “Older adults' attitudes towards and perceptions of "smart home" technologies: a pilot study,” Medical Informatics and the Internet in Medicine, 2004, 29(2):87-94.  

J92.  M. Skubic, D. Perzanowski, S. Blisard, A. Schultz, W. Adams, M. Bugajska, and D. Brock, “Spatial Language for Human-Robot Dialogs,” IEEE Trans. on SMC, Part C, May 2004, 34(2):154-167.

J93.  M. Skubic, S. Blisard, C. Bailey, J. Adams, and P. Matsakis, “Qualitative Analysis of Sketched Route Maps: Translating a Sketch into Linguistic Descriptions,” IEEE Transactions on SMC, Part B, April 2004, 34(2):1275-1282.

J94.  K. Keegan, S. Arafat, M. Skubic, D. Wilson, and J. Kramer, “Detection of lameness and determination of the affected forelimb in lame horses by use of continuous wavelet transformation and neural network classification of kinematic data,” American Journal of Veterinary Research, Nov. 2003, 64(11):1376-1381.

J95.  M. Skubic, P. Matsakis, G. Chronis, and J. Keller, "Generating Multi-Level Linguistic Spatial Descriptions from Range Sensor Readings Using the Histogram of Forces", Autonomous Robots, Jan. 2003, 14(1):51-69. 

J96.  M. Skubic and R. Volz, “Acquiring Robust, Force-Based Assembly Skills from Human Demonstration”, IEEE Transactions on Robotics and Automation, Dec. 2000, 16(6):772-781.

J97.  M. Skubic and R. Volz, “Identifying Single-Ended Contact Formations from Force Sensor Patterns”, IEEE Transactions on Robotics and Automation, Oct. 2000, 16(5):597-603.

J98.  M. Skubic, “Building Intelligent Robots in a Cooperative Learning Environment”, Computers in Education Journal, Jan.-Mar. 2000, X(1):68-72.

J99.  L.J. Everett, R. Ravuri, R.A. Volz, M. Skubic, “Generalized Recognition of Single-Ended Contact Formations”, IEEE Transactions on Robotics and Automation, Oct. 1999, 15(5):829-836.  

Book Chapters

B1.      M.J. Rantz, K.R. Lane, L.L. Popejoy, C. Galambos, L.J. Phillips, L. Hicks, G. Alexander, L. Despins, R. Koopman, M. Skubic, M. Popescu, J. Keller, “Aging in Place: Adapting the Environment,” In P.A. Grady & A.S. Hinshaw (Eds.) Using Nursing Research to Shape Health Policy. New York, NY: Springer Publishing, 2017.

B2.      Skubic M, & Rantz MJ, TigerPlace (2014). In Handbook of Smart Homes, Health Care and Well-Being, J. van Hoof, G. Demiris, & E. Wouters (Eds.) Cham, Switzerland: Springer Intl. Publishing.

B3.      Alexander, G.L., Rantz, M., Skubic, M., Koopman, R.J., Phillips, L.J., Guevara, R.D., and Miller, S.J., “Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.” In Ming-Chien Chyu Editor. Advances in Engineering for Healthcare Safety-From Surgery Ergonomics to Computational Fluid Dynamics, Multi-Science Publishing; United Kingdom, 2013, pp 249-275.

B4.      Skubic M, Rantz M, Miller S, Guevara RD, Koopman R, Alexander G, Phillips L, "Non-Wearable In-Home Sensing for Early Detection of Health Changes," In Quality of Life Technology for the Disabled and Elderly, R Schultz, ed. CRC Press, 2012.

B5.      J. Keller, P. Matsakis, and M. Skubic, “Beyond 2001: The Linguistic Spatial Odyssey”, in Computational Intelligence: The Experts Speak, C. Robinson, ed, Wiley, 2003, pp. 11-24.  

B6.      M. Rantz, M. Skubic, K. Burks, J. Yu, G. Demiris, B. Hensel, G.L. Alexander, Z. He, H.W. Tyrer, M. Hamilton, J. Lee, and M. Brown. “Functional assessment and technology.” In Majd Alwan, & Robin A. Felder, Eds., Eldercare Technology for Practitioners, Humana Press, Totowa, NJ, 2008, pp. 5-32.

Papers in Conference proceedings, full paper refereed   

C1.      Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, and Grant J. Scott, “GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI,” IEEE International Conference on Big Data (BigData), Sorrento, Italy, Dec 2023.

C2.      Mohamed Zaid, Raul Invernizzi, Lorenzo Sala, Laurel Despins, Mihail Popescu, James Keller, Marjorie Skubic, Riccardo Sacco, Marcela Szopos, Virginia H. Huxley, Giovanna Guidoboni, “Analysis of the Contribution of Cardiovascular Components to the Ballistocardiogram Signal Using a  Mathematical Model,” ACCEPTED to Computing in Cardiology Conference, 2023.

C3.      Noah Marchal, Marjorie Skubic, Grant J. Scott, “Stepping Beyond Assessment: Fall Risk Prediction Models among Older Adults from Cumulative Change in Gait Parameter Estimates,” AMIA conference, New Orleans, 2023.

C4.      Anup Kumar Mishra, Maxwell J. Chappell, Sarah Emerson, and Marjorie Skubic, “Fall Risk Prediction in Older Adults using Free-Text Nursing Notes and Medications in Electronic Health Records,” Proc., Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, July 2023.

C5.      Wu, W., Keller, J., Skubic, M., Popescu, M., Lane, K., Rantz, M., “An Automatic Approach to Evaluate Warnings of Health Algorithm Using CLAMP,” Proc., 2022 IEEE Intl. Conf. on Bioinformatics and Biomedicine, Las Vegas, NV, December 2022.

C6.      J. Saied-Walker, P. Gupta, R. Yi, N. Marchal, M. Skubic and G. J. Scott, "Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management," 2022 IEEE Intl. Conf. on Big Data (Big Data), Osaka, Japan, 2022, pp. 3124-3130, doi: 10.1109/BigData55660.2022.10020369.

C7.      W. Wu, J.M. Keller, M. Skubic, and M. Popescu, “Explainable AI for Early Detection of Health Changes via Streaming Clustering,” Proc., FUZZ-IEEE, IEEE World Congress on Computational Intelligence, Padua, Italy, July 2022.

C8.      Grant Scott*, Jamal Saied-Walker, Noah Marchal, Hang Yu, Marjorie Skubic, HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data, Proc., Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, July 2022. 

C9.      N. Resuli, M. Skubic and J. Myungki, “Noninvasive Respiration Monitoring of Different Sleeping Postures Using an RF Sensor,” Proc., IEEE Intl. Conf. on Bioinformatics and Biomedicine (BIBM), Houston, TX, USA, December 2021, pp. 1485-1490, doi: 10.1109/BIBM52615.2021.9669669.

C10.   M. Zaid, S. Ahmad, A. Suliman, M. Camazine, I. Weber, J. Sheppard, M. Popescu, J. Keller, L. Despins, M. Skubic, G. Guidoboni, “Noninvasive cardiovascular monitoring based on electrocardiography and ballistocardiography: a feasibility study on patients in the surgical intensive care unit.” Proc., Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, October 31–November 4, 2021, Guadalajara, Mexico, pp. 951-954.  [This paper has been selected among the 15 finalists for the best student paper award.]

C11. N. Vyas, K. Ryoo, H. Tesfaye, R. Yi and M. Skubic, “Sleep Stage Classification Using Non-Invasive Bed Sensing and Deep Learning,” in Workshop on Processes and Algorithms for Healthcare and Life Quality Improvement, Proc., IEEE Intl. Conf. on Bioinformatics and Biomedicine (BIBM), December 2021.

C12. P. Gupta, O. Ibrahim, M. Skubic, G. Scott, "Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare", Proc., 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Nov 2021, Virtual conference, pp.2180-2185.

C13. A. Suliman, M. Skubic, C. Abbott, and A. Rivera and Jason May, “Design Evolution of a Head-Worn Biofeedback System to Address Vestibular Balance Impairment,” in Proc., Design of Medical Devices Conference, April 2021.

C14. N. Resuli, M. Skubic, and S. Kovaleski, “Learning Room Structure and Activity Patterns Using RF Sensing for In-Home Monitoring of Older Adults,” Biomedical and Health Informatics Workshop, IEEE Conference on Bioinformatics and Biomedicine, Dec. 2020.

C15. M. Enayati, N.Z. Farahani, and M. Skubic, “Motion Artifact Detection in Ballistocardiograms Using Machine Learning Techniques,” Proc., EAI Intel. Conf. on Pervasive Computing Technologies for Healthcare, Oct. 2020.

C16. G. Park, E.L. Robinson, S. Shalini, M. Skubic, B. Markway, A. Hill, K. Lane and M. Rantz, “Integrating Voice-Assisted Technology with an In-Home Sensor System: Exploring the Development of a Participant-Based Design Study,” Proc., EAI Intel. Conf. on Pervasive Computing Technologies for Healthcare, Oct. 2020.

C17. A. Suliman, M. Skubic, S. Kurkowski, C. Abbott, and A. Rivera, “Prototype Hat as a Biofeedback System to Address Vestibular Balance Impairment,” Proc., the European Medical and Biological Engineering Conference, Nov. 2020, pp. 984-993.

C18. D. Hai, C. Chen, R. Yi, S. Gou, B.Y. Su, C. Jiao, and M. Skubic, “Heartbeat Detection and Rate Estimation from Ballistocardiograms Using the Gated Recurrent Unit Network, in Proc., Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2020.

C19. M. Enayati and M. Skubic, “Respiratory Arrest Monitoring: A Non-Invasive Approach for Early Detection of Breathing Complexities in Psychiatric Patients,” in Proc., Design of Medical Devices Conference, April 2020.

C20. Z. Moore, C. Sifferman, S. Tullis, M. Ma, R. Proffitt and M. Skubic, "Depth Sensor-Based In-Home Daily Activity Recognition and Assessment System for Stroke Rehabilitation," 2019 IEEE Intl. Conf. on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 1051-1056, doi: 10.1109/BIBM47256.2019.8983376.

C21. R. Gargees, J.M. Keller, M. Popescu & M. Skubic, “Non-Invasive Classification of Sleep Stages with a Hydraulic Bed Sensor Using Deep Learning,” Proc., ICOST Conference, New York, October 2019.

C22. W. Wu, J. Keller, M. Skubic, and M. Popescu, “Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model,” Proc., IEEE Intl. Conf. on Fuzzy Systems, New Orleans, LA, June 2019.

C23. R. Yi, M. Enayati, J.M. Keller, M. Popescu and M. Skubic, “Non-Invasive In-Home Sleep Stage Classification Using a Ballistocardiography Bed Sensor,” Proc., IEEE-EMBS Intl. Conf. on Biomedical and Health Informatics, Chicago, IL, May 2019.

C24. M. Ma, B. Meyer, L. Lin, R. Proffitt & M. Skubic, “Vico VR-Based Wireless Daily Activity Recognition and Assessment System for Stroke Rehabilitation,” Proc, Intl. Conf. on Bioinformatics and Biomedicine, Madrid, December 2018.

C25. M. Enayati, M. Skubic, J.M. Keller, M. Popescu, and N.Z. Farahani, “Sleep Posture Classification Using Bed Sensor Data and Neural Networks,” Proc., Intl. Conf. of the IEEE EMBS, Honolulu, July 2018.

C26. A.H.S. Anaz, M. Skubic, J. Bridgeman, and D. Brogan, “Classification of Therapeutic Hand Poses Using Convolutional Neural Networks,” Proc., Intl. Conf. of the IEEE EMBS, Honolulu, July, 2018.

C27. A. Mishra, M. Skubic, B.W. Willis, T. Guess, A.D. Gray, S.L. Sherman, “A Novel Depth Image Analysis Method to Calculate the Anterior Reach of the Modified Star Excursion Balance Test,” In Proc., Pervasive Health Conference, May 2018, New York.

C28. J. Collins, J. Warren, M. Ma, R. Proffitt, and M. Skubic, “Stroke Patient Daily Activity Observation System,” Proc, Intl. Conf. on Bioinformatics and Biomedicine, Kansas City, MO, Nov. 2017.

C29.    R. Bazan Antequera, P. Calyam, D. Chemodanov, A. Berryman, W. de Donato, A. Mishra, T. Zhu, M. Sridharan, A. Pescape, M. Skubic, “Socio-technical Approach to Engineer Gigabit App Performance for Physical Therapy-as-a-Service”, Proc., IEEE Intl. Conf. on e-Health, Networking, Application & Services, Dalian, China, Oct. 2017.

C30.    A. Mishra, M. Skubic, B.W. Willis, T.M. Guess, S. Razu, C. Abbott, and A.D. Gray, “Examining Methods to Estimate Static Body Sway from the Kinect V2.0 Skeletal Data: Implications for Clinical Rehabilitation,” Proc., Intl. Conference on Pervasive Health, Barcelona, Spain, May 2017.

C31.    R. Wallace, C. Abbott, and M. Skubic, “Exploring Clinical Correlations in Centroid-Based Gait Metrics from Depth Data Collected in the Home,” Proc., Intl. Conference on Pervasive Health. Barcelona, Spain, May 2017.

C32. Hotrabhavananda B, Mishra A, Skubic M, Hotrabhavananda N, and Abbott C, Evaluation of the Microsoft Kinect Skeletal Data Versus Depth Data Analysis for Timed Up and Go and Figure of 8 Walk Tests, in Proc., IEEE Conf of the EMBS, Orlando, FL, August 2016.

C33. Yang J, Keller JM, Popescu M, and Skubic M, Sleep Stage Recognition using Respiration Signal, in Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Orlando, FL, August 2016.

C34. Jiao C, Lyons P, Zare A, Rosales L, and Skubic M, Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances, in Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Orlando, FL, August, 2016.

C35.    Skubic M, Harris BH, Stone E, Ho KC, Su B-Y, and Rantz M, Testing Non-Wearable Fall Detection Methods in the Homes of Older Adults, in Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Invited Session, Orlando, FL, August 2016, pp. 557-560.

C36.    Huo Z, Skubic M, and Alexenko T, “Natural Spatial Description Generation for Human-Robot Interaction in Indoor Environments,” Proceedings, IEEE Intl. Conf. on Smart Computing, May 2016.

C37.    Skubic M, Rantz M, Miller S, and Musterman K, Capturing Behavioral Biomarkers to Guide Personalized Treatment, in Proc., NIH-IEEE Strategic Conf. on Healthcare Innovations and Point of Care Technologies for Precision Medicine, Bethesda, MD, November 2015.

C38. Lydon K, Su B-Y, Rosales L, Enayati M, Ho KC, Rantz M, and Skubic M, A Simple and Robust Pulse Rate Estimation Method Using a Hydraulic Bed Sensor, In Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Invited session, Milan, Italy, August 2015.

C39. Huo Z, Griffin J, Babiuch R, Gray A, Willis B, Skubic M, Sun S, Examining the Feasibility of a Microsoft Kinect-Based Game Intervention for Individuals with ACL Injury Risk, In Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Milan, Italy, August 2015.

C40. Mishra A, Skubic M, and Abbott C, Development and Preliminary Validation of an Interactive Remote Physical Therapy System, In Proc., IEEE Conf of the Engineering in Medicine and Biology Society, Milan, Italy, August 2015.

C41. Skubic M, Grant S, Gangopadhyay S, Bok S, Wood A, Pathan S, Koopman R, Personalized and Context-Based Sensing for Dehydration Monitoring, Medical CPS Workshop, Seattle, WA, April 13, 2015.

C42.    M. Singhal, J. Ramanathan, P. Calyam, M. Skubic, “In-the-know: Recommendation Framework for City-supported Hybrid Cloud Services”, Proc. of IEEE/ACM Conference on Utility and Cloud Computing (UCC), pp. 137-145, ISBN 978-1-4799-7881-6, 2014.

C43. Z. Huo, T. Alexenko, and M. Skubic, “Using Spatial Language to Drive a Robot for an Indoor Environment Fetch Task,” in Proc., IEEE International Conference on Intelligent Robots and Systems, Chicago, September 2014.

C44. M. Skubic, H. Jimison, J. Keller, M. Popescu, M. Rantz, J. Kaye, and M. Pavel, “A Framework for Harmonizing Sensor Data to Support Embedded Health Assessment,” in Proc., IEEE Intl. Conf. of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 1747-1751.

C45. E.E. Stone, M. Skubic, and J. Back, “Automated Health Alerts from Kinect-Based In-Home Gait Measurements,” in Proc., IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 2961-2964.

C46. T. Banerjee, M. Enayati, J.M. Keller, M. Skubic, M. Popescu, and M. Rantz, “Monitoring Patients in Hospital Beds Using Unobtrusive Depth Sensors,” in Proc., IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 5904-5907.

C47. M. Li, P. Savvidou, B. Willis, and M. Skubic, “Using the Kinect to Detect Potentially Harmful Hand Postures in Pianists,” in Proc., IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 762-765.

C48. Y. Li, K.C. Ho, M. Popescu, and M. Skubic, “A Theoretical Study on the Placement of Microphone Arrays for Improving the Localization Accuracy of a Fall,” in Proc., IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 4523-4526.

C49. L. Liu, M. Popescu, M. Skubic, and M. Rantz, “An Automatic Fall Detection Framework Using Data Fusion of Doppler Radar and Motion Sensor Network,” in Proc., IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 5940-5943.

C50. M. Enayati, T. Banerjee, M. Popescu, M. Skubic and M. Rantz, “A Novel Web-Based Depth Video Rewind Approach Toward Fall Preventive Interventions in Hospitals,” in Proc., IEEE Intl. Conf. of the Engineering in Medicine and Biology Society, Chicago, August 2014, pp. 4511-4514.

C51. Y. Wang, Y. Li, K. C. Ho, A. Zare, and M. Skubic, “Sparsity promoted non-negative matrix factorization for source separation and detection,” in Proc. Int. Conf. Digital Signal Processing, Hong Kong, Aug. 2014.

C52. E.E. Stone and M. Skubic, “Testing Real-Time In-Home Fall Alerts with Embedded Depth Video Hyperlink,” In Proc. of the Intl. Conf. on Smart Homes and Health Telematics, Denver, June, 2014, pp. 41-48.

C53. M. Sheahen and M. Skubic, “Design and Usability of Smart Home Sensor Data User Interface for Clinical and Research Audience,” In Proc. of the International Conference on Smart Homes and Health Telematics, Denver, June 2014, pp. 13-20.

C54. T. Banerjee, J.M. Keller, and M. Skubic, “Detecting Foreground Disambiguation of Depth Images Using Fuzzy Logic,” Proc., IEEE Intl. Conf. on Fuzzy Systems, Hyderabad, India, July 7-10, 2013.

C55. M. Skubic, Z. Huo, T. Alexenko, L. Carlson and J. Miller, “Testing an Assistive Fetch Robot with Spatial Language from Older and Younger Adults,” Proc., IEEE Intl. Symposium On Robot and Human Interactive Communication, Gyeongju, Korea, August 26-29, 2013.

C56. L. Carlson, M. Skubic, J. Miller, Z. Huo, and T. Alexenko, “Assessing the Effectiveness of Older Adults’ Spatial Descriptions in a Fetch Task,” Proc., 35th Annual Cognitive Science Conference, Berlin, Germany, July 31-August 3, 2013.

C57. E. Stone, M. Butler, A. McRuer, A. Gray, J. Marks, and M. Skubic, "Evaluation of the Microsoft Kinect for Screening ACL Injury," Proc., IEEE 2013 International Conference of the Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013, pp. 4152-4155.

C58. Y. Li, T. Banerjee, M. Popescu and M. Skubic, "Improvement of acoustic fall detection using Kinect depth sensing," Proc., IEEE 2013 International Conference of the Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013.

C59. R. Wallace, C. Abbott, C. Gibson-Horn and M. Skubic, "In-Home Measurement of the Effect of Strategically Weighted Vests on Ambulation," Proc., IEEE 2013 International Conference of the Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013.

C60. D. Heise, L. Rosales, M. Sheahen, B.Y. Su and M. Skubic, "Non-Invasive Measurement of Heartbeat with a Hydraulic Bed Sensor: Progress, Challenges, and Opportunities," Proc., IEEE Intl. Instrumentation & Measurement Technical Conf., Minneapolis MN, May 6-9, 2013, pp. 4356-4360.

C61. E.E. Stone and M. Skubic, “Mapping Kinect-Based In-Home Gait Speed to TUG Time: A Methodology to Facilitate Clinical Interpretation,” Proc., Intl. Conf. on Pervasive Health, Venice, Italy, May 2013.

C62. T. Alexenko, M. Biondo, D. Banisakher, and M. Skubic, “Android-Based Speech Processing for Eldercare Robotics,” Proc., Intl. Conf. on Intelligent User Interfaces, Los Angeles, CA, March 2013.                           

C63. M. Rantz, M. Skubic, C. Abbott, Y. Pak, E. Stone, and S. Miller, “Automated Fall Risk Assessment and Detection in the Home: A Preliminary Investigation,” AI in Gerontechnology Symposium, AAAI Fall Symposium series, 2012.

C64. T. Banerjee, M. Rantz, M. Li, M. Popescu, E. Stone, M. Skubic, and S. Scott, “Monitoring Hospital Rooms for Safety Using Depth Images,” AI in Gerontechnology Symposium, AAAI Fall Symposium series, 2012.

C65. T. Banerjee, J.M. Keller, and M. Skubic, "Resident Identification Using Kinect Depth Image Data and Fuzzy Clustering Techniques," In Proc. of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August/September 2012.

C66. P.E. Cuddihy, T. Yardibi, Z.J. Legenzoff, L. Liu, C.E. Phillips III, C. Abbott, C. Galambos, J. Keller, M. Popescu, J. Back, M. Skubic, and M.J. Rantz, "Radar Walking Speed Measurements of Seniors in their Apartments: Technology for Fall Prevention," In Proc. of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August/September 2012.

C67. L. Liu, M. Popescu, K.C. Ho, M. Skubic, and M. Rantz, "Doppler Radar Sensor Positioning in a Fall Detection System," In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August 28/September 2012.

C68. C.E. Phillips III, J. Keller, M. Popescu, M. Skubic, M.J. Rantz, P.E. Cuddihy, and T. Yardibi, "Radar Walk Detection in the Apartments of Elderly to Assist with Assessing Fall Risk," In Proc. of the Intl. Conf. of the IEEE EMBS, San Diego, CA, August/September 2012.

C69. L. Rosales, M. Skubic, D. Heise, M.J. Devaney, and M. Schaumburg, "Heartbeat Detection from a Hydraulic Bed Sensor Using a Clustering Approach," In Proc. of the Intl. Conf. of the IEEE EMBS, San Diego, CA, August/September 2012, pp. 2383-2387.

C70. Marjorie Skubic, Tatiana Alexenko, Zhiyu Huo, Laura Carlson, and Jared Miller, "Investigating Spatial Language for Robot Fetch Commands," Workshop Proceedings, AAAI 2012 Workshop on Grounding Language for Physical Systems, Toronto, Canada, July 23, 2012.

C71. M. Skubic, R.D. Guevara, and M. Rantz, "Testing Classifiers for Embedded Health Assessment," In Proc. of the Intl. Conf. on Smart Homes and Health Telematics, Artimino, Italy, June 2012.

C72. E. Stone and M. Skubic, "Capturing Habitual, In-Home Gait Parameter Trends Using an Inexpensive Depth Camera," In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August/September 2012, pp. 5106-5109.

C73. B-Y. Su, K.C. Ho, M. Skubic, and L. Rosales "Pulse Rate Estimation Using Hydraulic Bed Sensor," In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August/September 2012, pp. 2587-2590.

C74.    M. Skubic, T. Alexenko, Z. Huo, L. Carlson, and J. Miller, “Investigating Spatial Language for Robot Fetch Commands, AAAI Workshop on Grounding Language for Physical Systems, Aug. 2012, Toronto, Canada.

C75. M. Popescu, B. Hotrabhavananda, M. Moore, and M. Skubic, "VAMPIR - An Automatic Fall Detection System Using a Vertical PIR Sensor Array," In Proc. of the 6th International Conference on Pervasive Computing Technologies for Healthcare, San Diego CA, May, 2012, pp. 163-166.

C76. E.E. Stone and M. Skubic, "Passive, In-Home Gait Measurement Using an Inexpensive Depth Camera: Initial Results," In Proc. of the 6th International Conference on Pervasive Computing Technologies for Healthcare, San Diego, CA, May 2012.

C77. M. Skubic, L. Carlson, J. Miller, X. Ou Li, and Z. Huo, “Spatial Language Experiments for a Robot Fetch Task,” Proc., ACM/IEEE International Conference on Human-Robot Interaction, Late Breaking News, Boston, MA, March 2012.

C78.    L. Liu, M. Popescu, M. Rantz, and M. Skubic, "Fall Detection using Doppler Radar and Classifier Fusion," In Proc. of the International Conference on Biomedical and Health Informatics, Hong Kong and Shenzhen, China, January, 2012, pp. 180-183.

C79. L.A. Carlson, M. Skubic, J. Miller, Z. Huo, and X.O. Li, "A Corpus of Spatial Descriptions for the Development of Human-Driven Spatial Language Robot Algorithms", Proceedings, Annual Meeting of the Psychonomic Society, Seattle, WA, November 3-6, 2011.

C80. D. Heise, L. Rosales, M. Skubic, and M.J. Devaney, “Refinement and Evaluation of a Hydraulic Bed Sensor,” In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, Boston, MA, August 2011, pp. 4356-4360.

C81. E. Stone and M. Skubic, “Passive In-Home Measurement of Stride-to-Stride Gait Variability Comparing Vision and Kinect Sensing,” In Proc. of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, August 2011, pp. 6491-6494.

C82. F. Wang, M. Skubic, C. Abbott, and J. Keller, “Quantitative Analysis of 180 Degree Turns for Fall Risk Assessment Using Video Sensors,” In Proc. of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, August 2011. pp. 7606-7609.

C83. Z. Zhou, E. Stone, M. Skubic, J.M. Keller, and Z. He, “Nighttime In-Home Activity Monitoring for Eldercare,” In Proc. of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, August 2011, pp. 5299-5302.

C84. M. Skubic, Z. Huo, L. Carlson, X. Li, and J. Miller, “Human-Driven Spatial Language for Human-Robot Interaction,” In Proc. of the AAAI Workshop on Human-Robot Interaction in Eldercare, San Francisco, CA, August 2011.

C85. M. Popescu, G. Chronis, R. Ohol, M. Skubic, and M. Rantz, “An Eldercare Electronic Health Record System for Predictive Health Assessment,” In Proc. of the HealthCom Conference, Columbia, MO, June 2011.

C86.    M.J. Rantz, M. Skubic, R. Koopman, L. Phillips, G.L. Alexander, and S.J. Miller, “Using Sensor Networks to Detect Urinary Track Infections in Older Adults,” In Proc. of the HealthCom Conference, Columbia, MO, June 2011.

C87. E.E. Stone and M. Skubic, “Evaluation of an Inexpensive Depth Camera for Passive In-Home Fall   Risk Assessment,” In Proc. of the Pervasive Health Conference, Dublin, Ireland, May 2011, Best Paper Award.

C88. L. Liu, M. Popescu, M. Rantz, M. Skubic, P. Cuddihy, and T. Yardibi, “Automatic Fall Detection Based on Doppler Radar Motion Signature,” In Proc. of the Pervasive Health Conference, Dublin, Ireland, May 2011, Best Poster Award.

C89. T. Banerjee, J.M. Keller, Z. Zhou, M. Skubic, and E. Stone, “Activity Segmentation of Infrared Images Using Fuzzy Clustering Techniques,” In Proc. of the World Conference on Soft Computing, San Francisco, CA, May 2011.

C90. A.R. Buck, J.M. Keller, M. Skubic, M. Detyniecki, and T. Baerecke, “Object Set Matching with an Evolutionary Algorithm,” In Proc. of the IEEE Symposium on Computational Intelligence for Security and Defense Applications, Paris, France, April 2011, pp. 43-50.

C91. S. Wang, M. Skubic, Y. Zhu, and C. Galambos, “Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring,” In Proc. of the Pervasive Computing, SmartE Workshop, March 2011.

C92. E.E. Stone and M. Skubic, “Silhouette Classification Using Pixel and Voxel Features for Improved Elder Monitoring in Dynamic Environments,” In Proc. of the Pervasive Computing, SmartE Workshop, March 2011.

C93. T. Yardibi, P. Cuddihy, S. Genc, C. Bufi, M. Skubic, M. Rantz, L. Liang, and C. Phillips III, “Gait Characterization via Pulse-Doppler Radar,” In Proc. of the Pervasive Computing, SmartE Workshop, March 2011.

C94. D. Heise and M. Skubic, “Monitoring Pulse and Respiration with a Non-Invasive Hydraulic Bed Sensor,” In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, August/September 2010, pp. 2119-2123.

C95. E. Stone, D. Anderson, M. Skubic, and J.M. Keller, “Extracting Footfalls from Voxel Data,” In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, August/September 2010, pp. 1119-1122.

C96. F. Wang, M. Skubic, C. Abbott, and J.M. Keller, “Body Sway Measurement for Fall Risk Assessment Using Inexpensive Webcams,” In Proc. of the Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, August/September 2010, pp. 2225-2229.

C97. T. Banerjee, J.M. Keller, M. Skubic, and C. Abbott, “Sit-To-Stand Detection Using Fuzzy Clustering Techniques,” In Proc. of the World Congress on computational Intelligence, Barcelona, Spain, July 2010, pp. 1-8.

C98. A.R. Buck, J.M. Keller, and M. Skubic, “A Modified Genetic Algorithm for Matching Building Sets with the Histograms of Forces,” In Proc. of the IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 2010, pp. 1-7.

C99. E. Stone, D. Anderson, M. Skubic, and J. Keller, “Footfall Extraction and Visualization from Voxel Data,” In Proc. of the Society for Gerontechnology 7th World Conf., Vancouver, Canada, May 2010.

C100. G.L. Alexander, B.J. Wakefield, M.J. Rantz, M. Skubic, and S. Erdelez, “Usability Analysis of a Passive Sensor Technology Interface to Assess Elder Activity in an Independent Living Facility,” In Proc. of the Midwest Nursing Research Society Symposium on Nursing Informatics Research, Kansas City, MO, April 2010.

C101. F. Wang, E. Stone, W. Dai, T. Banerjee, J. Giger, J. Krampe, M. Rantz, and M. Skubic, “Testing an In-Home Gait Assessment Tool for Older Adults,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 6147-6150.

C102. F. Wang, E. Stone, W. Dai, M. Skubic, and J. Keller, “Gait Analysis and Validation Using Voxel Data,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 6127-6130.

C103. S. Wang, M. Skubic, and Y. Zhu, “Activity Density Map Dis-similarity Comparison for Eldercare Monitoring,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 7232-7235.

C104. C. Godsey and M. Skubic, “Using Elements of Game Engine Architecture to Simulate Sensor Networks for Eldercare,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 6143-6146.

C105. J. Liang, C. Abbott, M. Skubic, and J. Keller, “Investigation of Gait Features for Stability and Risk Identification in Elders,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 6139-6142.

C106.  M. Rantz, M. Skubic, and S. Miller, “Using Sensor Technology to Augment Traditional Healthcare,” In Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, September 2009, pp. 6159-6162.

C107. T. Havens, G. Alexander, J. Keller, M. Skubic, and M. Rantz, “Fuzzy Contour Tracking of Human Silhouettes,” In Proc. of the IEEE Intl. Conf. on Fuzzy Systems, Jeju Island, Aug. 2009, pp. 951-956.

C108. Havens TC, Alexander GL, Abbott C, Keller JM, Skubic M, and Rantz M, "Contour Tracking of Human Exercises," In Proc. of the 2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, Nashville, TN, March, 2009, pp. 22-28.

C109. M. Rantz, M. Aud, G. Alexander, D. Oliver, D, Minner, M. Skubic, J. Keller, Z. He, M. Popescu, G. Demiris, and S. Miller, “Tiger Place: An Innovative Educational and Research Environment,” In Proc. of the AAAI in Eldercare: New Solutions to Old Problems, Washington DC, Nov. 2008, pp. 84-91.

C110. I.J. Sledge, J.M. Keller, T.C. Havens, G.L. Alexander, and M. Skubic, “Temporal Activity Analysis,” AAAI Fall 2008 Symposium: AI in Eldercare, Washington, D.C., November 2008, pp. 100-108.

C111. M. Popescu, Y. Li, M. Skubic, and M. Rantz, “An Acoustic Fall Detector System that Uses Sound Height Information to Reduce the False Alarm Rate,” In Proc. of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, BC, August 2008, pp. 4628-4631.

C112. E.E. Stone, M. Skubic, and J.M. Keller, “Adaptive Temporal Difference Learning of Spatial Memory in the Water Maze Task,” In Proc. of the International Conference on Development and Learning, Monterey, CA, August 2008, pp. 85-90.

C113. M.J. Rantz, M. Skubic, S.J. Miller, and J. Krampe, “Using Technology to Enhance Aging in Place,” In Proc. of the 6th International Conference on Smart Homes and Health Telematics, Ames, IA, July 2008, pp. 169-176.  

C114. M. Popescu, E. Florea, M. Skubic, and M. Rantz, “Prediction of Elevated Pulse Pressure in Elderly Using In-Home Monitoring Sensors: A Pilot Study,” In Proc. of the IET International Conference on Intelligent Environments, Seattle, WA, July 2008, pp. 58-61.

C115. S. Wang and M. Skubic, “Density Map Visualization from Motion Sensors for Monitoring Activity Level,” In Proc. of the IET International Conference on Intelligent Environments, Seattle, WA, July 2008, pp. 64-71.

C116. D. Anderson, R. Luke, J. Keller, and M. Skubic, “Extension of a Soft-Computing Framework for Activity Analysis from Linguistic Summarizations of Video,” In Proc. of the IEEE International Congress on Fuzzy Systems (FUZZ-IEEE), WCCI, Hong Kong, June 2008, pp 1404-1410. (Best Student Paper). 

C117. D. Anderson, R. Luke, J. Keller, and M. Skubic, “Modeling Human Activity from Voxel Person Using Fuzzy Logic,” In Proc. of the IEEE International Congress on Fuzzy Systems (FUZZ-IEEE), WCCI, Hong Kong, June 2008, pp. 39-49.

C118. H.W. Tyrer, M.A. Aud, G. Alexander, M. Skubic, and M. Rantz, “Early Detection of Health Changes in Older Adults,” In Proc. of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France August 2007, pp. 4045-4048. 

C119. G. Parekh, M. Skubic, O. Sjahputera, and J. Keller, “Scene Matching between Maps and User Drawn Sketches using Spatial Relations,” In Proc. of the IEEE 2007 Conference on Robotics and Automation, Rome, Italy, April 2007, pp. 4007-4012.

C120. M.A. Busch, M. Skubic, J.M. Keller, and K.E. Stone, “A Robot in a Water Maze: Learning a Spatial Memory Task,” In Proc. of the IEEE 2007 Conference on Robotics and Automation, Rome, Italy, April 2007, pp. 1727-1732.

C121. X. Chen, Z. He, D. Anderson, J. Keller, and M. Skubic, “Adaptive Silhouette Extraction and Human Tracking in Complex and Dynamic Environments,” In Proc. of the IEEE International Conference on Image Processing. Atlanta, GA, October 2006, pp. 551-564. 

C122. D. Anderson, J. Keller, M. Skubic, X. Chen, and Z. He, “Recognizing Falls from Silhouettes,” In Proc. of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, August/September 2006, pp. 6388-6391.

C123. H. Tyrer, M. Alwan, G. Demiris, Z. He, J. Keller, M. Skubic, and M. Rantz., “Technology for Successful Aging”, In Proc. of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, August/September 2006, pp. 3290-3293.

C124. X. Chen, Z. He, J.M. Keller, D. Anderson, and Skubic M, "Adaptive Silhouette Extraction in Dynamic Environments Using Fuzzy Logic," In Proc. of the 2006 IEEE International Conference on Fuzzy Systems, Vancouver, WA, July 2006, pp. 236-243.

C125. S. Wang, J.M. Keller, K. Burks, M. Skubic, and H. Tyrer, "Assessing Physical Performance of Elders Using Fuzzy Logic," In Proc. of the 2006 IEEE International Conference on Fuzzy Systems, Vancouver, WA, July 2006, pp. 1482-1487.

C126. G. Demiris, M. Skubic, J. Keller, M.J. Rantz, D. Parker Oliver, M.A. Aud, J. Lee, K. Burks, and N. Green, "Nurse Participation in the Design of User Interfaces for a Smart Home System," In Proc. of the 2006 Intl. Conf. on Smart Homes and Health Telematics, Belfast, U.K., July 2006, pp. 66-73.

C127. K.L. Courtney, G. Demiris, M. Rantz, and M. Skubic, "Decision Factors for Participation in "Smart Home" Technology Research in a Residential Care Setting: A Single Subject Case Study," In Proc. of the 2006 International Congress of the European Federation of Medical Informatics, Maastricht, Netherlands, August 2006, pp. 379-384.

C128. G. Demiris, M. Skubic, M.J. Rantz, K.L. Courtney, M.A. Aud, H.W. Tyrer, Z. He, and J. Lee, “Facilitating interdisciplinary design specification of “smart homes” for aging in place,” In Proc. of the International Congress of the European Federation of Medical Informatics, Maastricht, Netherlands, August 2006, IOS Press, pp. 45-50.  

C129. M. Skubic, D. Anderson, S. Blisard, D. Perzanowski, and A. Schultz, “Using a Qualitative Sketch to Control a Team of Robots,” In Proc. of the IEEE International Conference on Robotics and Automation, Orlando, FL, May 2006, pp. 3595-3601.

C130. S. Arafat, M. Dohrmann, and M. Skubic, “Classification of Coronary Artery Disease Stress ECGs using Uncertainty Modeling,” In Proc. of the ICSC Congress on Computational Intelligence: Methods and Applications, Istanbul, Turkey, December 2005. 

C131. S. Blisard and M. Skubic, “Modeling Spatial Referencing Language for Human-Robot Interaction,” In Proc. of the IEEE International Workshop on Robot and Human Interactive Communication, Nashville, TN, August 2005, pp. 698-703. (Best student paper award).

C132. R. Luke, S. Blisard, J. Keller, and M. Skubic, “Linguistic Descriptions of Three Dimensional Scenes Using SIFT Keypoints,” In Proc. of the IEEE International Workshop on Robot and Human Interactive Communication, Nashville, TN, August, 2005, pp. 704-709. 

C133. R.H. Luke, J.M. Keller, M. Skubic, and S. Senger, “Acquiring and Maintaining Abstract Landmark Chunks for Cognitive Robot Navigation,” In Proc. of the IEEE International Conference on Robots and Intelligent Systems, Edmonton, Alberta, Canada, July 2005, pp. 2566-2571. 

C134. G. Chronis and M. Skubic, “Robot Navigation Using Qualitative Landmark States from Sketched Route Maps,” In Proc. of the IEEE International Conference on Robotics and Automation, New Orleans, LA, April 2004, pp. 1530-1535.

C135. D. Sofge, D. Perzanowski, J.G. Trafton, N. Cassimatis, D. Brock, M. Skubic, M. Bugajska, W. Adams and A. Schultz, “Collaborating with a Dynamically Autonomous Cognitive Robot,” In Proc. of the 1st IFAC Symposium on Telematics Applications in Automation and Robotics, 2004.

C136. D. Sofge, D. Perzanowski, M. Skubic, M. Bugajska, J.G. Trafton, N. Cassimatis, D. Brock, W. Adams, and A. Schultz, “Cognitive Tools for Humanoid Robots in Space,” In Proc. of the16th IFAC Symposium on Automatic Control in Aerospace, Elsevier Science Ltd, Oxford, UK, 2004.

C137. D. Sofge, D. Perzanowski, M. Skubic, N. Cassimatis, J.G. Trafton, D. Brock, M. Bugajska, W. Adams, and A. Schultz, “Achieving Collaborative Interaction with a Humanoid Robot,” In Proc. of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, December 2003.

C138. S. Arafat and M. Skubic, “Combined Uncertainty Model for Best Wavelet Selection,” In Proc. of the IEEE 2003 International Conference on Fuzzy Systems, St. Louis, MO, May 2003, pp. 1195-1199.

C139. G. Chronis and M. Skubic, “Sketch-Based Navigation for Mobile Robots,” In Proc. of the IEEE 2003 International Conference on Fuzzy Systems, St. Louis, MO, May 2003, pp. 284-289.

C140. G. Scott, J. Keller, and M. Skubic, “Face Recognition for Homeland Security: A Computational Intelligence Approach,” in Proc. of the IEEE 2003 International Conference on Fuzzy Systems, St. Louis, MO, May 2003, pp. 1268-1273.

C141. M. Skubic, D. Perzanowski, A. Schultz, and W. Adams, “Using Spatial Language in a Human-Robot Dialog”, In Proc. of the IEEE 2002 International Conference on Robotics and Automation, Washington, D.C., May 2002, pp. 4143-4148.

C142. M. Skubic, P. Matsakis, B. Forrester, and G. Chronis, "Extracting Navigation States from a Hand-Drawn Map", In Proc. of the IEEE 2001 International Conference on Robotics and Automation, Seoul, Korea, May 2001, vol. 1, pp. 259-264.

C143. M. Skubic, G. Chronis, P. Matsakis, and J. Keller, "Generating Linguistic Spatial Descriptions from Sonar Readings Using the Histogram of Forces", in Proc. of the IEEE 2001 International Conference on Robotics and Automation, Seoul, Korea, May 2001, vol. 1, pp. 485-490.

C144. G. Chronis, J. Keller, and M. Skubic, “Learning Fuzzy Rules by Evolution for Mobile Agent Control”, In Proc. of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Monterey, CA, November 1999, pp. 70-76. 

C145. M. Skubic, “Building Intelligent Robots in a Cooperative Learning Environment”, In Proc. of the 1999 ASEE Annual Conference, Charlotte, NC, June 1999. (Reviewed for a special session)

C146. M. Skubic, B. Forrester, and B. Nowak, “Clustering of Qualitative Contact States for an Automotive Assembly,” In Proc. of the 1999 IEEE International Conference on Robotics and Automation, Detroit, MI, May 1999, pp. 2103-2109.  

C147. M. Skubic and R. Volz, “Learning Force-Based Assembly Skills from Human Demonstration for Execution in Unstructured Environments”, In Proc. of the 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium, May 1998, pp. 1281-1288.

C148. M. Seif El-Nasr and M. Skubic, “A Fuzzy Emotional Agent for Decision-Making in a Mobile Robot”, invited paper in the Proc. of the 1998 IEEE International Conference on Fuzzy Systems, Anchorage, Alaska, May 1998, pp. 135-140.

C149. M. Skubic and R. Volz, "Learning Force Sensory Patterns and Skills from Human Demonstration", In Proc. of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, NM, April 1997, vol. 1, pp. 284-290. 

C150. M. Skubic, S. Castrianni, and R. Volz, "Identifying Contact Formations from Force Signals: A Comparison of Fuzzy and Neural Network Classifiers", In Proc. of the 1997 IEEE International Conference on Neural Networks, Houston, TX, June 1997, vol. 3, pp. 1623-1628.

C151. M. Skubic and R. Volz, "Identifying contact formations from sensory patterns and its applicability to robot programming by demonstration", In Proc. of the 1996 IEEE International Conference on Intelligent Robots and Systems, Osaka, Japan, November 1996, vol. 2, pp. 458-464. 

C152. M. Skubic and R. Volz, “Fuzzy Classification of Contact Formations from Sensor Patterns”, Proc. of the U.S.-Japan Graduate Student Forum in Robotics, sponsored by RSJ and NSF, Osaka, Japan, November 1996. 

C153. M. Skubic, G. Kondraske, J. Wise, G. Khoury, R. Volz and S. Askew, "A Telerobotics Construction Set with Integrated Performance Analysis”, In Proc. of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems, Pittsburgh, PA, August 1995, vol. 3, pp. 20-26. 

C154. M. Skubic, S. Graves, and J. Mollenhauer, "Design of a Two-Level Fuzzy Controller for a Reactive Miniature Mobile Robot," In Proc. of the Third International Conference on Industrial Fuzzy Control and Intelligent Systems, Houston, TX, December 1993.

Other Conference Papers, refereed by abstract

A1.       S. Shalini, T. Levins, E.L. Robinson, K. Lane, G. Park and M. Skubic, Development and Comparison of Customized Voice-Assistant Systems for Independent Living Older Adults, Proc., Intl. Conf. on Human Aspects of IT for the Aged Population, Orlando, FL, July 2019.

A2.       Skubic M, Mishra A, Harris B, Abbott C, Craver A, Musterman K, and Rantz M, HCI Challenges for Consumer-Based Aging in Place Technologies, In Proc., Intl. Conf. on Human Aspects of IT for the Aged Population, Toronto, Canada, July 2016.

A3.       T. Alexenko, M. Biondo, D. Banisakher, and M. Skubic, “Android-Based Speech Processing for Eldercare Robotics,” In Proc., Intl. Conf. on Intelligent User Interfaces, Santa Monica, CA, March 2013.

A4.       M. Skubic, Z. Huo, L. Carlson, X.O. Li and J. Miller, “Human-Driven Spatial Language for Human-Robot Interaction,” AAAI Workshop on Human-Robot Interaction in Eldercare, Aug. 2011, San Francisco, CA.

A5.       G.L. Alexander, B.J. Wakefield, M.J. Rantz, M.A. Aud, M. Skubic, and S. Erdelez, “Usability Analysis of a Passive Sensor Technology Interface to Assess Elder Activity in an Independent Living Facility,” In Proceedings from Midwest Nursing Research Society Symposium on Nursing Informatics Research, Kansas City, MO, April 2010.

A6.       G.L. Alexander, T.C. Havens, M. Skubic, M. Rantz, J.M. Keller, and C. Abbott, “Markerless Human Motion Capture-Based Exercise Feedback System to Increase Efficacy and Safety of Elder Exercise Routines,” In Proc. of the International Conference of the International Society for Gerontechnology, Pisa, Italy, June 2008, pp. 73-78.

A7.       D. Anderson, R. Luke, M. Skubic, J.M. Keller, M. Rantz, and M. Aud, “Evaluation of a Video Based Fall Recognition System for Elders Using Voxel Space,” In Proc. of the International Conference of the International Society for Gerontechnology, Pisa, Italy, June 2008, pp. 77-82.

A8.       M.A. Aud, G.L. Alexander, M.J. Rantz, and M. Skubic, “Use of Sensor System Data for Early Detection of Health Status Changes in Older Adult Residents of a Retirement Community,” In Proc. of the Midwest Nursing Research Society, Omaha, Nebraska, March 2007. 

A9.      G. Demiris, K.L. Courtney, M. Skubic, and M. Rantz, “An Evaluation Protocol of a Smart Home Application for Older Adults,” In Proc. of the 2007 International Conference Addressing Information Technology and Communications in Health, Victoria, BC, Canada, February 2007, pp. 319-323.

A10.   G. Demiris, M. Skubic, M. Rantz, J. Keller, M. Aud, B. Hensel, and Z. He, “Smart Home Sensors for the Elderly: A Model for Participatory Formative Evaluation,” In Proc. of the IEEE EMBS International Special Topic Conference on Information Technology in Biomedicine, Ioannina Greece, October 2006, pp.1-4. 

A11.    G. Demiris, M. Skubic, M. Rantz, and B. Hensel, “Smart Home Sensors for Aging in Place: Older Adults’ Attitudes and Willingness to Adopt,” The Gerontologist 2006; 46 (Special Issue 1): 430.

A12.   G. Demiris, M. Skubic, D.R. Oliver, J. Keller, M.J. Rantz, M.A. Aud, J. Lee, K. Burks, N. Green, “End-User Involvement in Interface Design of Smart Home Applications: The Nursing Perspective,” In Proc. of the International Conference on Aging Disability and Independence, St. Petersburg, FL, February 2006. 

A13.   G. Demiris, M. Skubic, M.J. Rantz, K. Harris, B. Hensel, M.A. Aud, J. Lee, K. Burks, D.R. Oliver, Z. He, H.W. Tyer, J. Keller, “Older Adults Attitudes Towards Smart Home Features,” In Proc. of the International Conference on Aging Disability and Independence, St. Petersburg, FL, February 2006. 

A14.    M. Skubic, “Assessing Mobility and Cognitive Problems in Elders,” In Proc. of the AAAI 2005 Fall Symposium, Caring Machines: AI in Eldercare, Arlington, VA, November 2005.

A15.    M. Skubic, D. Anderson, S. Blissard, D. Perzanowski, W. Adams, J.G. Trafton, A. Schultz, S. Thomas, and E.V. Cross II, “Using a Sketch Pad Interface for Interacting with a Robot Team,” AAAI Mobile Robot Competition 2005: Papers from the AAAI Workshops, Pittsburgh, PA, July. 

A16.    M.J. Rantz, G. Demiris, M.A. Aud, K.D. Marek, H.W. Tyrer, M. Skubic, and A.A. Hussam, “Seniors’ attitudes towards home-based assistive technologies,” In Proc. of the 29th Annual MNRS Research Conference, Cincinnati, OH, April 2005. 

A17.    D. Perzanowski, D. Brock, M. Bugajska, S. Thomas, D. Sofge, W. Adams, M. Skubic, S. Blisard, N. Cassimatis, J.G. Trafton, and A.C. Schultz, “Toward Multimodal Human-Robot Cooperation and Collaboration,” American Institute of Aeronautics and Astronautics, Chicago, IL, September 2004. 

A18.    M. Skubic, D. Noelle, M. Wilkes, K. Kawamura, and J. Keller, “A Biologically Inspired Adaptive Working Memory for Robots,” In Proc. of the AAAI 2004 Fall Symposium, The Intersection of Cognitive Science and Robotics: From Interfaces to Intelligence, Washington, D.C, October 2004. 

A19.    R. Luke, J. Keller, P. Gader, M. Skubic, and T. Wang, “Experiments in tripwire detection using visible and near-IR imagery,” In Proc. of the SPIE Conference on Detection and Remediation Technologies for Mines and Minelike Targets IX, Orlando, FL, April 2004, pp. 754-762. 

A20.    D. Anderson, C. Bailey, and M. Skubic, “Hidden Markov Model Symbol Recognition for Sketch-Based Interfaces,” In Proc. of the AAAI Fall Symposium, Making Pen-Based Interaction Intelligent and Natural, Washington, DC, October 2004.  

A21.    M. Skubic, D. Anderson, M. Khalilia, and S. Kavirayani, 2004, A Sketch-Based Interface for Multi-Robot Formations, AAAI Mobile Robot Competition 2004: Papers from the AAAI Workshops, San Jose, CA, July 2004.  

A22.    G. Demiris, M.J. Rantz, M.A. Aud, K.D. Marek, H.W. Tyrer, M. Skubic, and A.A. Hussam, “Smart Home Technologies for Aging in Place,” Abstract in Telemedicine Journal and e-Health (Proc. of the 9th Annual Meeting of the American Telemedicine Association, Tampa FL, May 2-5, 2004)

A23.    K. Keegan, S. Arafat, M. Skubic, D.A. Wilson, J. Kramer, N.T. Messer IV and P.J. Johnson, “Detection of Spinal Ataxia in Horses Using Fuzzy Clustering of Body Position Uncertainty,” in Proc. of the 2004 International Conference on Equine Locomotion. 

A24.    D. Perzanowski, D. Brock, W. Adams, M. Bugajska, S. Blisard, M. Skubic, A.C. Schultz, J.G. Trafton, “Finding the FOO a pilot study for a multimodal interface,” in Proc. of the IEEE 2003 International Conference on SMC, Washington, DC, Oct. 2003, pp. 3218-3223.

A25.    M. Skubic, C. Bailey, and G. Chronis, “A Sketch Interface for Mobile Robots,” in Proc. of the IEEE 2003 International Conference on SMC, Washington, DC, Oct. 2003, pp. 918-924.

A26.    J. Keller, M. Skubic, P. Gader, T. Wang, and R. Luke, “Real-Time Tripwire Detection on a Robotic Testbed,” in Proc. of the SPIE Conference on Detection and Remediation Technologies for Mines and Minelike Targets VIII, Orlando, FL, April 2003, pp. 1287-1297.

A27.    M. Skubic and S. Blisard, “Go to the Right of the Pillar: Modeling Unoccupied Spaces for Robot Directives,” AAAI 2002 Fall Symposium, Human-Robot Interaction, Nov. 2002.

A28. M. Skubic, S. Blisard, A. Carle, P. Matsakis, “Hand-Drawn Maps for Robot Navigation”, AAAI 2002 Spring Symposium, Sketch Understanding, Stanford Univ., March 2002.  

A29.    M. Skubic and J. Laffey, “Event-Driven Programming Projects for Software Engineering Students”, in Proc. of the 2002 ASEE Conference, Montreal, Canada, June 2002.

A30.    D. Perzanowski, A Schultz, W. Adams, M. Bugajska, E. Marsh, G. Trafton, D. Brock, M. Skubic, and M. Abramson, “Communicating with Teams of Cooperative Robots.” In Multi-Robot Systems: From Swarms to Intelligent Automata.  Kluwer: The Netherlands, pp. 185-193, from the NATO Workshop on Multi-Robot Systems, Washington, D.C., March 2002.

A31.    A. Schultz, D. Perzanowski, W. Adams, M. Skubic, M. Bugajska, and E. Marsh, “Multi-modal Interfacing and Spatial Reasoning for Human-Robot Interactions,” in Augmented Cognition Conference 2001: Improving Net Human-Machine Information Capacity, December 2-5, 2001, Austin, TX.

A32.    M. Skubic, P. Matsakis and J. Keller.  Spatial Relations for Tactical Robot Navigation, in Proc. of the SPIE Conference Unmanned Ground Vehicle Technology III, April 2001, Orlando, FL. 

A33. M. Skubic.  “Saturday Science for Junior High Students”, in Technical Report, AAAI 2001 Spring Symposium, Robotics and Education Workshop, March 2001, Stanford University, CA.

A34.    G. Chronis and M. Skubic, “Experiments in Programming by Demonstration: Training a Neural Network for Navigation Behaviors”, in the Proc. of the International Symposium on Robotics and Automation, Nov. 2000, Monterrey, Mexico. 

A35.    M. Skubic, G. Kondraske, G. Khoury, P. Fiedler, B. Morgan, and S. Graves, "Performance Measurement and Prediction in a Distributed Telerobotics System", In Proc. of the 1995 IEEE International Conference. on Systems, Man, and Cybernetics, vol. 3, pp. 2121-2126, Vancouver, BC, Oct. 1995.