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3-D hand motion tracking and gesture recognition using a data glove

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3 Author(s)
Ji-Hwan Kim ; Dept. of Biomed. Eng., Kyung Hee Univ., Yongin, South Korea ; Nguyen Duc Thang ; Tae-Seong Kim

Hand motion tracking and gesture recognition are a fundamental technology in the field of proactive computing for a better human computer interaction system. In this paper, we have developed a 3-D hand motion tracking and gesture recognition system via a data glove (namely the KHU-1 data glove consisting of three tri-axis accelerometer sensors, one controller, and one Bluetooth). The KHU-1 data glove is capable of transmitting hand motion signals to a PC through wireless communication via Bluetooth. Also we have implemented a 3-D digital hand model for hand motion tracking and recognition. The implemented 3-D digital hand model is based on the kinematic chain theory utilizing ellipsoids and joints. Finally, we have utilized a rule-based algorithm to recognize simple hand gestures namely scissor, rock, and paper using the 3-D digital hand model and the KHU-1 data glove. Some preliminary experimental results are presented in this paper.

Published in:

Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on

Date of Conference:

5-8 July 2009

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