Abstract
Dynamic hand gesture tracking and recognition system can simplify the way humans interact with computers and many other non-critical consumer electronic equipments. This system is based on the well-known “Wave Controller” technology developed at the University of Wollongong [1–3] and certainly a step forward in video gaming and consumer electronics control interfaces. Many computer interfaces used today such as keyboard, mouse, joystick or gaming wheels have constrained the artistic ability of many users, as they are required to respond to the computer through pressing buttons or moving other apparatus. Most of the drawbacks of the modern interfaces can be tackled by using a reliable hand gesture tracking and recognition system based on both Lucas-Kanade and Moment Invariants approaches. The realtime functional ability of this system will enhance the user experience as users are no longer have any physical connection to the equipment being controlled.
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Premaratne, P., Ajaz, S., Premaratne, M. (2012). Hand Gesture Tracking and Recognition System for Control of Consumer Electronics. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_76
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