NDLI: A Method of Hand Gesture Recognition Based on Multiple Sensors

Content Provider	IEEE Xplore Digital Library
Author	Fan Wei Chen Xiang Wang Wen-hui Zhang Xu Yang Ji-hai Lantz, V. Wang Kong-qiao
Copyright Year	2010
Abstract	This paper presents a new method of gesture recognition based on multiple sensors fusion technique. Three kinds of sensors, namely surface Electromyography (sEMG) sensor, 3-axis accelerometer (ACC) and camera, are used together to capture the dynamic hand gesture firstly. Then four types of features are extracted from the three kinds of sensory data to depict the static hand posture and dynamic gesture trajectory characteristics of hand gesture. Finally decision-level multi-classifier fusion method is implemented for hand gesture pattern classification. Experimental results of 4 subjects demonstrate that each kind of sensor data has its advantages and disadvantages in representing hand gestures. And the proposed method could fuse effectively the complementary information from these three types of sensors for dynamic hand gesture recognition.
Starting Page	1
Ending Page	4
File Size	343159
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5516722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Partial response channels Fuses Handicapped aids Investments Sensor fusion Sensor phenomena and characterization Feature extraction Electromyography Joining processes
Content Type	Text
Resource Type	Article

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