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Elderly care robot to recognize and alert emergency situations

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Author(s)
Kim, Mun SangLee, Deok-WonAhmed, ElsharkawyLee, Yun-dongKim, SeungJunJun, KooksungKhawar, Naheem
Type
Conference Paper
Citation
IEEE 41st EMB Conference 2019
Issued Date
2019-07-24
Abstract
As the number of elderly increases, greater attention must be given to how they or their caregivers deal with emergencies. This paper describes an automated tracking, fall detection, and emergency recovery system for elderly people, and shows that an efficient Socially Assistive Robot (SAR) can react to emergencies and abnormal behaviors for at-risk populations. Our assistant robot uses position data provided by Ultra-WideBand (UWB) technology and motion sensor information to detect potentially dangerous situations for elderly people. Twenty-eight professional caregivers are asked to comment regarding benefits and improvements for our system.
Publisher
IEEE/EMB(Engineering in Medicine and Biology)
Conference Place
GE
URI
https://scholar.gist.ac.kr/handle/local/22966
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