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Author:

Fan, Jinhui (Fan, Jinhui.) | Jia, Songmin (Jia, Songmin.) (Scholars:贾松敏) | Li, Xiuzhi (Li, Xiuzhi.) | Lu, Wei (Lu, Wei.)

Indexed by:

EI Scopus

Abstract:

A large number of wheelchairs are manipulated via joysticks. But for the different degree of the handicapped, joystick does not fit for any disabled person and it will limit the users' hand behaviour, especially in sport for them. This paper elaborates a more effective and hands-free method to control the intelligent wheelchair (IW), and describes the details of control algorithm on the omni-directional platform. The algorithm controls the IW's directions and velocities according to user's different sitting postures. Using the information from the force sensors under the seat surface, the different 2D position of gravity centre will be calculated out to control the intelligent wheelchair in response to the user's leaning in different directions and velocities. Furthermore, it describes the motion mathematical model of the omnidirectional wheelchair platform and provides control system hardware structure as well. Experiment results eventually indicate that the sitting postures control function is realized accurately, effectively in directions and velocities.

Keyword:

Intelligent robots Disabled persons Automation Artificial intelligence Process control Wheelchairs

Author Community:

  • [ 1 ] [Fan, Jinhui]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Fan, Jinhui]Institute of Electrical Engineering and Information Technology, Hebei University of Science and Technology, Shijiazhuang, China
  • [ 3 ] [Jia, Songmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Li, Xiuzhi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Lu, Wei]Shijiazhuang Medical College, Shijiazhuang, China

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Source :

Year: 2012

Issue: 598 CP

Volume: 2012

Page: 713-716

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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