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Title
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Hand Gesture Recognition in Multi-space of 2D/3D
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Author
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Hansaem Lee, Junseok Park
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Citation |
Vol. 15 No. 6 pp. 12-16
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Abstract
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Recent human-computer interaction studies focus on natural interface based on hand/finger movements by tracking body motion using various sensors. In this paper, we propose ¡®Surface Gesture¡¯ recognition method using both 2D surface information and 3D spatial information. ¡®Surface Gesture¡¯ is composed of continuous gestures using 2D and 3D coordinates in multi spaces. We use a touchscreen to obtain the 2D coordinate and depth sensors to obtain finger coordinates in 3D space. We decompose ¡®Surface Gesture¡¯ into 3 particular steps and recognize ¡®Surface Gesture¡¯ with tagging a label on each step. By combining accurate 2D plane information and natural 3D space gestures, our method provides a more convenient and familiar way to interact with computers. We conducted an experiment to evaluate performance of the recognition engine. Experimental results show that the proposed method provides a 94% recognition rate on particular step and an 82% recognition rate on ¡®Surface Gesture¡¯.
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Keywords
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Leap Motion, Multi-space of 2D/3D, Hand gesture recognition
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URL
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http://paper.ijcsns.org/07_book/201506/20150603.pdf
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