Learning Based Falling Detection Using Multiple Doppler Sensors

ISSN Print: 2161-6817
ISSN Online: 2161-6825
www.scirp.net/journal/ait
E-mail: [email protected]

Citations

"Learning Based Falling Detection Using Multiple Doppler Sensors"
written by Shoichiro Tomii, Tomoaki Ohtsuki,
published by Advances in Internet of Things, Vol.3 No.2A, 2013

has been cited by the following article(s):

[1]	An Ultrasonic-Based Sensor System for Elderly Fall Monitoring in a Smart Room
	Journal of Healthcare Engineering, 2022

[2]	Range-Doppler radar sensor fusion for fall detection
	2017

[3]	Multiple joint-variable domains recognition of human motion
	2017

[4]	Range-Doppler Processing for Human Motion Detection and Classification
	Radar for Indoor Monitoring, 2017

[5]	Radar for disease detection and monitoring
	2017

[6]	Effects of Range Spread and Aspect Angle on Radar Fall Detection
	2016

[1]	Range-Doppler radar sensor fusion for fall detection 2017 IEEE Radar Conference (RadarConf), 2017 DOI:10.1109/RADAR.2017.7944316

[2]	Multiple joint-variable domains recognition of human motion 2017 IEEE Radar Conference (RadarConf), 2017 DOI:10.1109/RADAR.2017.7944340

[3]	Effects of range spread and aspect angle on radar fall detection 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016 DOI:10.1109/SAM.2016.7569741

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