Improve quality of care with remote activity and fall detection using ultrasonic sensors.
In this paper a fall detection system is presented that automatically detects the fall of a person and their location using an array of ultrasonic wave transducers connected to a field-programmable gate array (FPGA) processor. Experimental results are provided on a prototype deployment installed at an assisted living community. The system can provide a cost-effective and intelligent method to help caregivers detect a fall quickly so that patients are treated in a timely manner. In addition to room monitoring and local alert functions, the system incorporates a personal computer and wireless connection to enable remote monitoring of patient's activity and health status.
Electrical, Computer, and Energy Engineering Department, University of Colorado, Boulder, CO 80309, USA. yirui.huang@colorado.edu
Yirui
Y
Huang
Kimberly
K
Newman
D000058:Accidental Falls; D000465:Algorithms; D006801:Humans; D008991:Monitoring, Physiologic; D011787:Quality of Health Care; D014465:Ultrasonics