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Hand based visual intent recognition algorithm for wheelchair motion

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dc.contributor.author Luhandjula, T
dc.contributor.author Djouani, K
dc.contributor.author Hamam, Y
dc.contributor.author Van Wyk, BJ
dc.contributor.author Williams, Q
dc.date.accessioned 2010-08-18T13:03:37Z
dc.date.available 2010-08-18T13:03:37Z
dc.date.issued 2010-05
dc.identifier.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 en
dc.identifier.uri http://hdl.handle.net/10204/4158
dc.description 3rd International Conference on Human System Interaction (HSI). University of IT and Management, Rzeszow, Poland,13-14 May 2010. en
dc.description.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. en
dc.language.iso en en
dc.subject Visual human machine interface en
dc.subject Wheelchair motion en
dc.subject Intention detection en
dc.subject Symmetry curves en
dc.subject Human system interaction en
dc.title Hand based visual intent recognition algorithm for wheelchair motion en
dc.type Conference Presentation en
dc.identifier.apacitation Luhandjula, T., Djouani, K., Hamam, Y., Van Wyk, B., & Williams, Q. (2010). Hand based visual intent recognition algorithm for wheelchair motion. http://hdl.handle.net/10204/4158 en_ZA
dc.identifier.chicagocitation Luhandjula, T, K Djouani, Y Hamam, BJ Van Wyk, and Q Williams. "Hand based visual intent recognition algorithm for wheelchair motion." (2010): http://hdl.handle.net/10204/4158 en_ZA
dc.identifier.vancouvercitation Luhandjula T, Djouani K, Hamam Y, Van Wyk B, Williams Q, Hand based visual intent recognition algorithm for wheelchair motion; 2010. http://hdl.handle.net/10204/4158 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Luhandjula, T AU - Djouani, K AU - Hamam, Y AU - Van Wyk, BJ AU - Williams, Q AB - 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. DA - 2010-05 DB - ResearchSpace DP - CSIR KW - Visual human machine interface KW - Wheelchair motion KW - Intention detection KW - Symmetry curves KW - Human system interaction LK - https://researchspace.csir.co.za PY - 2010 T1 - Hand based visual intent recognition algorithm for wheelchair motion TI - Hand based visual intent recognition algorithm for wheelchair motion UR - http://hdl.handle.net/10204/4158 ER - en_ZA


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