Categories: Fall Detection
Anderson, Linda K. and Lane, Kari, (2019), Characteristics of falls and recurrent falls in residents of an aging in place
community: A case-control studyApplied Nursing Research, https://doi.org/10.1016/j.apnr.2019.151190
Download PDFCustomized Health Alerts and Consumer-Centered Interfaces Using In-Home and Wearable Sensors
Sensing technologies hold enormous potential for early detection of health changes that can dramatically affect the aging experience. Embedded health assessment can enable functional independence, improve self-management of chronic or acute conditions, and thus, improve quality of life
Su, B.-Y., Ho, K.C., Rantz, M. and Skubic, M. “Radar Placement for Fall Detection: Signature and Performance,” Journal of Ambient Intelligence and Smart Environments, 10(1):21-34, 2018
Download PDFGalambos, C., Rantz, M., Back, J., Jun, J.S., Skubic, M. & Miller, S., “Older Adults’ Perceptions and Preferences of a Fall Risk Assessment System: Exploring a Stages of Acceptance Model,” Computers, Informatics, Nursing, doi: 10.1097/CIN.0000000000000330, Vol. 35, No. 7, July 2017, pp. 331-337.
Download PDF »Calyam, P., Jahnke, I., Mishra, A., Bazan Antequera, R., Chemodanov, D. & Skubic, M, “Towards an Eldercare Living Lab for Sensor-Based Health Assessment and Physical Therapy,” IEEE Cloud Computing, May/June, 2017.
Download PDF »Technology to Automatically Detect Falls and Assess Fall Risk in Senior Housing
Building on our current work, we propose to validate and deploy an innovative technological approach that automatically detects when falls have occurred or when the risk of falls is increasing. Subjects will not have to press buttons, pull cords or wear any devices. This new “passive” approach using sensors in the home could revolutionize detecting and preventing falls as well as measuring fall risk.
Active Heterogeneous Sensing for Fall Detection and Fall Risk Assessment
We leverage ongoing research at a unique local eldercare facility (TigerPlace) to study active sensing and fusion using vision and acoustic sensors for the continuous assessment of a resident’s risk of falling as well as the reliable detection of falls in the home environment. The project investigates the interplay between fall detection and fall risk assessment.
A Smart Carpet: Technology for Persons with Alzheimer’s Disease
We propose a carpet with pressure sensors distributed throughout the floor with an average of 10 sensors per square foot sheet; these will be incorporated onto flooring material such as carpeting, flexible tiles or linoleum. We will be able to “see” the person’s footsteps, assess their gait, and identify their location.
Skubic, M., Harris, B.H., Stone, E., Ho, K.C., Su, B-Y. & Rantz, M., "Testing Non-Wearable Fall Detection Methods in the Homes of Older Adults," Proceedings, IEEE Conference of the Engineering in Medicine and Biology Society, Invited Session, Orlando, FL, August 2016.
Download PDF »Phillips, L.J., Deroche, C., Rantz, M., Alexander, G.L., Skubic, M., Despins, L., Abbott C, Harris BH, Galambos C, & Koopman R. (2016). “Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls,” Western Journal of Nursing Research, published online 7/27/16.
Download PDF »Liu, L., Popescu, M., Skubic, M., Rantz, M., and Cudahy, P., “An Automatic In-Home Fall Detection System Using Doppler Radar Signatures,” Journal of Ambient Intelligence and Smart Environments, 8(4):453-466, July 2016.
Download PDF »Su, B.Y., Ho, K.C., Rantz, M. & Skubic, M., "Doppler Radar Fall Activity Detection Using the Wavelet Transform," IEEE Transactions on Biomedical Engineering, 2015, 62(3):865-875.
Download PDF »Stone, E. & Skubic, M., "Fall Detection in Homes of Older Adults Using the Microsoft Kinect," IEEE Journal of Biomedical and Health Informatics, 2015, 19(1):290-301.
Download PDF »Rantz, M., Skubic, M., Abbott, C., Galambos, C., Popescu, M., Keller, J., Stone, E., Back, J., Miller, S.J. & Petroski, G.F. "Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders," The Gerontologist, 55(S1):S78-S87.
Download PDF »Liu, L., Popescu, M., Skubic, M. & Rantz, M., "An Automatic Fall Detection Framework Using Data Fusion of Doppler Radar and Motion Sensor Network," Proceedings, IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, IL, August 26-30, 2014, pp 5940-5943.
Download PDF »Li, Y., Ho, K.C., Popescu, M. & Skubic, M., "A Theoretical Study on the Placement of Microphone Arrays for Improving the Localization Accuracy of a Fall," Proceedings, IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, IL, August 26-30, 2014, pp 4523-4526.
Download PDF »Enayati, M., Banerjee, T., Popescu, M., Skubic, M. & Rantz, M. "A Novel Web-based Depth Video Rewind Approach toward Fall Preventive Interventions in Hospitals," Proceedings, IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, IL, August 26-30, 2014, pp 4511-4514.
Download PDF »Banerjee, T., Enayati, M., Keller, J.M., Skubic, M., Popescu, M. & Rantz, M. "Monitoring Patients in Hospital Beds Using Unobtrusive Depth Sensors," IEEE International Conference of the Engineering in Medicine and Biology Society, Chicago, IL, August 26-30, 2014, pp 5904-5907.
Download PDF »Rantz, M., Banerjee, T., Cattoor, E., Scott, S., Skubic, M. & Popescu, M. "Automated Fall Detection with Quality Improvement "Rewind" to Reduce Falls in Hospital Rooms," Journal of Gerontological Nursing Technology Innovations, 2014, 40(1):13-17.
Download PDF »Stone E & Skubic M, "Testing Real-Time In-Home Fall Alerts with Embedded Depth Video Hyperlink," International Conference on Smart Homes and Health Telematics (ICOST), Denver, CO, June 25-27, 2014.
Download PDF »Li Y, Ho KC & Popescu M, "Efficient Source Separation Algorithms for Acoustic Fall Detection Using a Microsoft Kinect," IEEE Transactions on Biomedical Engineering, 2014, 61(3):745-755.
Download PDF »Rantz MJ, Skubic M, Abbott C, Galambos C, Pak Y, Ho D, Stone EE, Rui L, Back J & Miller S, "In-Home Fall Risk Assessment and Detection Sensor System," Journal of Gerontological Nursing, 39(7):18-22.
Download PDF »Li Y, Banerjee T, Popescu M & Skubic M, "Improvement of Acoustic Fall Detection using Kinect Depth Sensing," Proceedings, IEEE 2013 International Conference of the Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013.
Download PDF »Banerjee T, Rantz M, Li M, Popescu M, Stone E & Skubic M, "Monitoring Hospital Rooms for Safety Using Depth Images," Proceedings, AAAI Fall Symposium Series - AI for Gerontechnology, Washington DC, November 2-4, 2012.
Download PDF »Liu L, Popescu M, Ho KC, Skubic M & Rantz M, "Doppler Radar Sensor Positioning in a Fall Detection System," Proceedings, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), San Diego, CA, August 28 - September 1, 2012, pp 256-259.
Download PDF »Li Y, Popescu M, & Ho KC, "Improving Automatic Sound-based Fall Detection Using iVAT Clustering and GA-based Feature Selection," Proceedings, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, August 28 - September 1, 2012, pp 5867-5870.
Download PDF »Li Y, Ho KC & Popescu M, "A Microphone Array System for Automatic Fall Detection," IEEE Transactions on Biomedical Engineering, 2012, 59(2):1291-1301.
Download PDF »Popescu M, Hotrabhavananda B, Moore M & Skubic M, "VAMPIR - An Automatic Fall Detection System Using a Vertical PIR Sensor Array," Proceedings, 6th International Conference on Pervasive Computing Technologies for Healthcare, San Diego CA, May 21-24, 2012, pp 163-166.
Download PDF »Liu L, Popescu M, Rantz M & Skubic M, "Fall Detection using Doppler Radar and Classifier Fusion," Proceedings, International Conference on Biomedical and Health Informatics (BHI 2012) Hong Kong and Shenzhen, China, January 2-7, 2012, pp 180-183.
Download PDF »Li Y, Popescu M, & Ho KC, "Improving Acoustic Fall Recognition by Adaptive Signal Windowing," Proceedings, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, August 30-September 3, 2011, pp 7589-7592.
Download PDF »Liu L, Popescu M, Skubic M, Rantz M, Yardibi T & Cuddihy P, "Automatic Fall Detection Based on Doppler Radar Motion Signature," Proceedings, 5th International Conference on Pervasive Computing Technologies for Healthcare, Dublin, Ireland, May 23-26, 2011, pp 222-225.
Download PDF »Stone EE & Skubic M, "Silhouette Classification Using Pixel and Voxel Features for Improved Elder Monitoring in Dynamic Environments," Proceedings, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), Seattle, WA, March 21-25, 2011, pp 655-661.
Download PDF »Li Y, Zeng Z, Popescu M & Ho KC, "Acoustic Fall Detection Using a Circular Microphone Array," Proceedings, 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, August 31-September 4, 2010, pp 2242-2245.
Download PDF »Aud MA, Abbott CC, Tyrer HW, Neelgund RV, Shriniwar UG, Mohammed A, & Devarakonda KK (2010), "Smart Carpet: Developing a Sensor System to Detect Falls and Summon Assstance," Journal of Gerontological Nursing, 36(7):8-12.
Download PDF »Skubic M, Alexander G, Popescu M, Rantz M and Keller J (2009), "A Smart Home Application to Eldercare: Current Status and Lessons Learned," Technology and Health Care 17(3):183-201.
Download PDF »Anderson D, Luke RH, Keller JM, Skubic M, Rantz M and Aud M, "Linguistic Summarization of Video for Fall Detection Using Voxel Person and Fuzzy Logic," Computer Vision and Image Understanding, doi:10.1016/j.cviu.2008.07.006, Vol. 113, pp. 80-89, 2009
Download PDF »Popescu M, Li Y, Skubic M & Rantz M, "An Acoustic Fall Detector System that Uses Sound Height Information to Reduce the False Alarm Rate," 30th Annual International IEEE EMBS Conference, Vancouver, British Columbia, Canada, August 20-24, 2008.
Rantz M, Aud M, Alexander G, Wakefield B, Skubic M, Luke RH, Anderson D, and Keller JK, "Falls, Technology, and Stunt Actors: new Approaches to Fall Detection and Fall Risk Assessment," Journal of Nursing Care Quality, 23(3):195-201, 2008.
Download PDF »Anderson D, Luke R, Skubic M, Keller JM, Rantz M & Aud M, "Evaluation of a Video Based Fall Recognition System for Elders Using Voxel Space," Proceedings, International Conference of International Society for Gerontechnology, Pisa, Italy, June 4-7 2008, pp 77-82.
Download PDF »Luke RH, Anderson D, Keller JM & Skubic M, "Human Segmentation from Video in Indoor Environments Using Fused Color and Texture Features," Technical Report, ECE Dept, University of Missouri, Columbia, MO, 2008.
Download PDF »Anderson D, Keller J, Skubic M, Chen X & He Z, "Recognizing Falls From Silhouettes," Proceedings, IEEE 28th Annual International Conference of the Engineering in Medicine and Biology Society, New York, NY, August 30-September 3, 2006, pp 6388-6391.
Download PDF »Alwan M, Rajendran PJ, Kell S, Mack D, Dalal S, Wolfe M & Felder R, "A Smart and Passive Floor-Vibration Based Fall Detector for Elderly," Proceedings, 2nd IEEE International Conference on Information & Communication Technologies: From Theory to Applications (ICTTA'06), Damascus, Syria, April 24-28, 2006, vol. 1, pp 1003-1007.
Download PDF »Rajendran PJ, Alwan M, Kell S, Mack DC & Dalal S, "A Passive Floor-Vibration Based Fall Detector," Proceedings, Second International Conference on Independence, Aging and Disability, St Petersburg, Florida, February 2-4, 2006.