Goal: Automated Behavior Analysis in the Nursing Home Were interested in automating detection of behavioral & psychological symptoms of dementia (BPSD). Monitoring and maintaining the quality of life With Western Psychiatric Institute & Clinic (WPIC-UPMC, U.of Pgh) Ultimately, we seek to make automated, quantitative measurements to: Explore relationship of BPSD to environments in which they occur Evaluate symptoms longitudinally Determine the frequency of BPSD Develop a patient profile of responses of BPSD to pharmacological and non-pharmacological interventions >>>> Enable earlier intervention to sustain quality of life
Applications in the Nursing Home Clinical/Research Tracking patient behavior and incidents in long-term care facilities e.g., disruptive vocalizations, falls recording patient mobility and activity levels Correlating with time of day, location and environmental factors Observing effects of drugs on individuals and groups Patient Cognitive assist - reminding, alerting and summoning help Staff training Analysis of video records of incidents used for training Management Monitoring and documenting compliance
Current research in activity recognition can loosely be grouped into a couple of categories: 1. kinematic/dynamic (Wren, Ma, Blake, Black, Freeman) 2. non-parametric, statistical (Davis, Liu, Lee, Yang, Cutler, Shi) Interpreting Behavior
Future Opportunities Upgrade to hi-resolution cameras for fine motor detection Measure tremors, facial expressions Instrument with distributed sensors for precision Force sensors in chairs, beds, carpeting RFID in clothing, utensils Conduct large-scale testbeds for validation Comprehensive instrumentation in multiple homes Move through lesser levels of care to expand market From constrained skilled care environments to less structured assisted and independent living >>>> Enable earlier detection and intervention Delaying nursing home entry by 1 month saves $1.2B/year
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