Original Article

Cognition, Technology & Work

, Volume 9, Issue 4, pp 189-207

First online:

Gesture recognition for control of rehabilitation robots

  • L. GerlichAffiliated withSchool of Engineering Systems, Middlesex University
  • , B. N. ParsonsAffiliated withBecrypt Ltd, Wyrols Court
  • , A. S. WhiteAffiliated withSchool of Computing Science, Middlesex University Email author 
  • , S. PriorAffiliated withProduct Design and Engineering, Middlesex University
  • , P. WarnerAffiliated withSchool of Engineering Systems, Middlesex University

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This paper describes the development of a control user interface for a wheelchair-mounted manipulator for use by severely disabled persons. It explains the construction of the interface using tasks to define the user interface architecture. The prototype robot used several gesture recognition systems to achieve a level of usability better than other robots used for rehabilitation at the time. The use of neural networks and other procedures is evaluated. It outlines the experiments used to evaluate the user responses and draws conclusions about the effectiveness of the whole system. It demonstrates the possibility of control using a head mouse.


User interface Rehabilitation robotics Gesture recognition Neural networks