NDLI: Development of Intelligent Power Wheelchair assisting for people on daily life using motion recognition

Content Provider	IEEE Xplore Digital Library
Author	Sekine, N. Nakamura, A. Fujimoto, Y. Yamaguchi, T.
Copyright Year	2010
Description	Author affiliation: (Tokyo Metropolitan University) (Nakamura, A.; Fujimoto, Y.; Yamaguchi, T.) \|\| (Department of System Design, Tokyo Metropolitan University (Sekine, N.)
Abstract	In this research, Authors participated in a research project about “Development of Intelligent Power Wheelchair assisting for people on Daily Life”. Recently, the number of elderly people increases. And the development of welfare apparatus having the effect of minimizing care is required because the care prevention is important to promote independence and moderate exercise for elderly people by one's power. Authors develop Intelligent Power Wheelchair along with minimizing care needs for frail elderly people. This wheelchair consists of commercial sensors and a commercial wheelchair. With data observed by these sensors, the movement of the person is analyzed. In the welfare engineering, to provide the most suitable service, it is important a system understands the human's intention. This Wheelchair has three functions, Approach Function by human gesture, Operation Assistance Function by posture recognition, and Corner Assistance Function by motion recognition. Finally it shows utility by verification experiments
Starting Page	302
Ending Page	306
File Size	1341951
Page Count	5
File Format	PDF
ISBN	9781424466689
ISSN	19436572
e-ISBN	9781424466702
e-ISBN	9781424466696
DOI	10.1109/AMC.2010.5464115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-21
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wheelchairs Senior citizens Intelligent sensors Cities and towns Intelligent robots Robot sensing systems Cameras Intelligent networks Mobile robots Robot vision systems
Content Type	Text
Resource Type	Article

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