논문명 | Hand Gesture Recognition using 8-Directional Vector Chains in Quantization Space |
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구분 | 국제발표 |
저자 | Seongjo Lee, Sohyun Sim, Kyhyun Um, Young-Sik Jeong, Kyungeun Cho |
국내/국외 | |
학술회의명 | The 2nd FTRA International Conference on Ubiquitous Computing Application and Wireless |
개최국가 | Korea |
주관기관 | |
게재일 | 2014.07 |
This paper proposes a hand gesture recognition technique that allows users to enjoy uninterrupted interaction with a variety of multimedia applications. Hand gestures are recognized using joint information acquired from a Kinect sensor, and the recognized gestures are applied to multimedia content. To this end, hand gestures are quantized in the grid space, expressed using an 8-directional vector chain, and finally recognized on the basis of a hidden Markov model. To assess the proposed approach, we define the hand gestures used in the “Smart Interior” multimedia application, and collect a dataset of gestures using the Kinect. Our experiments demonstrate a high recognition ratio of between 90% and 100%. Furthermore, the experiments identify the possibility of applying this approach to a variety of multimedia content by verifying its superior operation in actual applications. |