NDLI: Dynamic gesture recognition based on multiple sensors fusion technology

Content Provider	IEEE Xplore Digital Library
Author	Wang Wenhui Chen Xiang Wang Kongqiao Zhang Xu Yang Jihai
Copyright Year	2009
Description	Author affiliation: Nokia Research Center, NOKIA (CHINA) Investment CO., LTD., Beijing, China (Wang Kongqiao) \|\| Institute of Biomedical Engineering at the University of Science and Technology of China, Hefei China (Wang Wenhui; Chen Xiang; Zhang Xu; Yang Jihai)
Abstract	This paper investigates the roles of a three-axis accelerometer, surface electromyography sensors and a webcam for dynamic gesture recognition. A decision-level multiple sensor fusion method based on action elements is proposed to distinguish a set of 20 kinds of dynamic hand gestures. Experiments are designed and conducted to collect three kinds of sensor data stream simultaneously during gesture implementation and compare the performance of different subsets in gesture recognition. Experimental results from three subjects show that the combination of three kinds of sensor achieves recognition accuracies at 87.5%-91.8%, which are higher largely than that of the single sensor conditions. This study is valuable to realize continuous and dynamic gesture recognition based on multiple sensor fusion technology for multi-model interaction.
Starting Page	7014
Ending Page	7017
File Size	609097
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor fusion Electromyography Handicapped aids Accelerometers Biomedical measurements Fingers Muscles Acceleration Real time systems Cameras
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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