Abstract
Usage of intelligence in the interactions between human and robot is one of the significant topics in research. As an added assistance to human, robots are used to facilitate and assist human in many ways. Robots could be made to understand and recognize human gestures. Therefore, robots should be programmed to deal with certain gestures, that, the robots can identify and act accordingly. Our research aims to enhance the robot gesture recognition ability by using supported hand gesture detection device known as Leap Motion Controller (LMC). This research aims to expose the accuracy of hand gesture recognition using Leap Motion depth sensor to enhance intelligent system where human hand gestures are used to interact with robot in learning or gaming system.
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Almarzuqi, A.A., Buhari, S.M. (2017). Enhance Robotics ability in Hand Gesture Recognition by Using Leap Motion Controller. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_51
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DOI: https://doi.org/10.1007/978-3-319-49106-6_51
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