NDLI: Classification of body motion for Human Body Motion Interface

Content Provider	IEEE Xplore Digital Library
Author	Yokota, S. Hashimoto, H. Ohyama, Y. She, J.-H. Chugo, D. Kobayashi, H.
Copyright Year	2010
Description	Author affiliation: Kwansei Gakuin University, Osaka, Japan (Chugo, D.) \|\| Advanced Institute of Industrial Technology, Tokyo, Japan (Hashimoto, H.) \|\| Tokyo University of Technology, Tokyo, Japan (Ohyama, Y.; She, J.-H.) \|\| Hosei University, Tokyo, Japan (Kobayashi, H.) \|\| Setsunan University, Osaka, Japan (Yokota, S.)
Abstract	This paper classified the body motion which is not distinguished when an electric wheelchair is operated by Human Body Motion Interface (HBMI). HBMI uses the body motion which is caused by the voluntary motion. This research focuses on the operation of an electric wheelchair as a practical application of HBMI. It has been confirmed that HBMI, which uses the center of weight on the pressure sensor attached on the backrest as the body motion index, has the ability of an interface. However the problem has also remained. The system cannot distinguish different body motion when the center of weight is the same position even if the subject takes the different body motion, because the pressure data converge on the one position which is the center of weight. We call such motion, whose center of weight is the same, “Confused motion”. The objective of this paper is to solve “Confused motion”. In this paper we classified “Confused motion” by using Self-Organizing Map (SOM). The result showed “Confused Motion” had been solved.
Starting Page	734
Ending Page	738
File Size	1251006
Page Count	5
File Format	PDF
ISBN	9781424475605
e-ISBN	9781424475629
DOI	10.1109/HSI.2010.5514486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motor drives Self-Organizing Map Circuits Humans Pressure control Sensor systems Wrist Wheelchairs Velocity control Wheelchair Intuitive Motion control Interface Testing Human Body Motion
Content Type	Text
Resource Type	Article

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