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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4158

Title: Hand based visual intent recognition algorithm for wheelchair motion
Authors: Luhandjula, T
Djouani, K
Hamam, Y
Van Wyk, BJ
Williams, Q
Keywords: Visual human machine interface
Wheelchair motion
Intention detection
Symmetry curves
Human system interaction
Issue Date: May-2010
Citation: Luhandjula, T, Djouani, K, Hamam, Y, et al. Hand-based visual intent recognition algorithm for wheelchair motion. 3rd International Conference on Human System Interaction (HSI). May 13-15, University of IT and Management, Rzeszow, Poland
Abstract: This paper describes an algorithm for a visual human-machine interface that infers a person’s intention from the motion of the hand. Work in progress shows a proof of concept tested on static images. The context for which this solution is intended is that of wheelchair bound individuals whose intentions are the direction and speed variation of the wheelchair. Results show that the symmetry property of the hand in motion can serve as an intent indicator.
Description: 3rd International Conference on Human System Interaction (HSI). University of IT and Management, Rzeszow, Poland,13-14 May 2010.
URI: http://hdl.handle.net/10204/4158
Appears in Collections:General science, engineering & technology

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