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2007 11th IEEE International Symposium on Wearable Computers (2007)
Boston, MA, USA
Oct. 11, 2007 to Oct. 13, 2007
ISBN: 978-1-4244-1452-9
pp: 1-4
Xiang Chen , Electronic Science&Technology Dept. University of Science&Technology of China, PRC, xch@ustc.edu.cn
Xu Zhang , Electronic Science&Technology Dept. University of Science&Technology of China, PRC
Zhang-Yan Zhao , Electronic Science&Technology Dept. University of Science&Technology of China, PRC
Ji-Hai Yang , Electronic Science&Technology Dept. University of Science&Technology of China, PRC
Vuokko Lantz , Interaction CTC, Interacting in Smart Environments, Nokia Research Center, Helsinki, Finland, Vuokko.Lantz@nokia.com
Kong-Qiao Wang , Visual Interaction Systems, Nokia Research Center, SRC Beijing, PRC, Kongqiao.Wang@nokia.com
ABSTRACT
For realizing multi-DOF interfaces in wearable computer system, accelerometers and surface EMG sensors are used synchronously to detect hand movement information for multiple hand gesture recognition. Experiments were designed to collect gesture data with both sensing techniques to compare their performance in the recognition of various wrist and finger gestures. Recognition tests were run using different subsets of information: accelerometer and sEMG data separately and combined sensor data. Experimental results show that the combination of sEMG sensors and accelerometers achieved 5-10% improvement in the recognition accuracies for hand gestures when compared to that obtained using sEMG sensors solely.
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CITATION

K. Wang, Z. Zhao, J. Yang, X. Chen, V. Lantz and X. Zhang, "Hand Gesture Recognition Research Based on Surface EMG Sensors and 2D-accelerometers," 2007 11th IEEE International Symposium on Wearable Computers(ISWC), Boston, MA, USA, 2007, pp. 1-4.
doi:10.1109/ISWC.2007.4373769
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