DocumentCode :
179812
Title :
Smart bedroom for elderly using kinect
Author :
Booranrom, Yoottana ; Watanapa, Bunthit ; Mongkolnam, Pornchai
Author_Institution :
Sch. of Inf. Technol., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
fYear :
2014
fDate :
July 30 2014-Aug. 1 2014
Firstpage :
427
Lastpage :
432
Abstract :
Ideas of building smart homes have been around for many years. However, most of them have been confined to laboratories or specially built, expensive homes due to the high cost of sensory hardware and software. In order to make some of those ideas realized for average-income households, we could resort to lower cost devices and focus more on smaller space like a bedroom or living room. Kinect sensors are able to capture motions of a human and present them as a series of time-dependent skeletons. They have been utilized in many fields such as entertainment, security, and health care. Particularly, they could be applied to assist the elderly population of which the number has been increasing substantially around the world when compared to other age groups. This work proposes the simple yet effective system that would facilitate the daily activities of an elderly person in a bedroom, e.g., helping the elderly turn on or turn off electric devices such as a television, electric fan, or room light without touching them or their remote controls. The system could also detect and alert the elderly of falling out of bed and monitor signs of abnormity or any need of assistance so that family members or caregiver could be timely notified.
Keywords :
assisted living; geriatrics; gesture recognition; Kinect sensors; elderly person; elderly population; falling out detection; smart bedroom; smart homes; time-dependent skeletons; Aging; Cameras; Elbow; Joints; Senior citizens; Vectors; Wrist; Kinect; control electric devices; elderly people; falling out of bed; smart bedroom;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2014 International
Conference_Location :
Khon Kaen
Print_ISBN :
978-1-4799-4965-6
Type :
conf
DOI :
10.1109/ICSEC.2014.6978235
Filename :
6978235
Link To Document :
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