An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network
Author:
Affiliation:
1. Department of Industrial and System Engineering, Virginia Tech, Blacksburg, VA, USA
2. Chief Product Officer with MS Technologies Corp., Rockville, MD, USA
Funder
National Institute of Aging
National Institutes of Health
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10092240/10024791.pdf?arnumber=10024791
Reference46 articles.
1. Fall detection approach based on combined displacement of spatial features for intelligent indoor surveillance
2. Physical consequences of falls in the elderly: a literature review from 1995 to 2010
3. Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection
4. Fracture Risk Associated with a Fall According to Type of Fall Among the Elderly
5. Fall Recovery Subactivity Recognition With RGB-D Cameras
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