DocumentCode :
3248302
Title :
Gesture recognition system for wheelchair control using a depth sensor
Author :
Kawarazaki, Noriyuki ; Diaz, Alejandro Israel Barragan
Author_Institution :
Dept. of Robot. & Mechatron., Kanagawa Inst. of Technol., Japan
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
48
Lastpage :
53
Abstract :
In usual wheelchair user control the wheelchair using the joystick. However, the user can´t control the joystick when the user holds an object by both hands. We have developed a gesture control system of the wheelchair. This system consists of an electric-powered wheelchair with an experimental structure, a depth sensor, and a PC. In our system, the wheelchair moves according to the position of the hand. We use a depth sensor in order to recognize the hand gesture quickly. The proposed system offers a “hands freedom” sense to the user, simplifying their daily activities by using the hands movements as the direction-control input. The effectiveness of our system is clarified by several experimental results.
Keywords :
electric vehicles; gesture recognition; handicapped aids; human-robot interaction; image motion analysis; mobile robots; robot vision; wheelchairs; PC; depth sensor; direction-control input; electric-powered wheelchair; gesture control system; hand gesture recognition system; hand movement; hand position; hands freedom sense; joystick; wheelchair user control; Assistive technology; Computational intelligence; Decision support systems; Handheld computers; Linux; Microphones; Universal Serial Bus; Depth image sensor; Gesture recognition; Natural interaction library; Wheelchair interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIRAT.2013.6613822
Filename :
6613822
Link To Document :
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