Luhandjula, TDjouani, KHamam, YVan Wyk, BJWilliams, Q2010-08-182010-08-182010-05Luhandjula, 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, Polandhttp://hdl.handle.net/10204/41583rd International Conference on Human System Interaction (HSI). University of IT and Management, Rzeszow, Poland,13-14 May 2010.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.enVisual human machine interfaceWheelchair motionIntention detectionSymmetry curvesHuman system interactionConference PresentationLuhandjula, T., Djouani, K., Hamam, Y., Van Wyk, B., & Williams, Q. (2010). Hand based visual intent recognition algorithm for wheelchair motion. http://hdl.handle.net/10204/4158Luhandjula, 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/10204/4158Luhandjula 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 .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 -