NDLI: A real-time hand gesture recognition algorithm for an embedded system

Content Provider	IEEE Xplore Digital Library
Author	You Lei Wang Hongpeng Tan Dianxiong Wang Jue
Copyright Year	2014
Description	Author affiliation: Shenzhen Grad. Sch., Shenzhen Univ. Town, Shenzhen, China (You Lei; Wang Hongpeng; Tan Dianxiong; Wang Jue)
Abstract	With the development of technology, intelligent robots will play an important role in our daily life. More and more intelligent robots based on embedded systems are used for security, detection, service, etc. Interaction with human is an important part of intelligent robots. Hand gesture is a convenient and fast method for human-robot interactions. In this paper, we propose a method which is suitable to detect hand area and recognize hand gestures for video stream on an embedded system. In order to make the recognition process run in real-time, the proposed method is based on Gaussian Mixture Model (GMM) which not only helps to build the skin model but also helps to classify the gestures. An embedded system with our algorithm is almost the same with a PC(Intel Core i3 500, 4G DDR3) real-time performance. At the same time, the average recognition rate is more than 75%. Both the embedded system and the real time hand gesture recognition algorithm is used to control an intelligent robot.
Starting Page	901
Ending Page	905
File Size	467112
Page Count	5
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6885817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes Embedded systems Gesture recognition Decision support systems Buildings Conferences Gaussian mixture model embedded system hand gesture recognition
Content Type	Text
Resource Type	Article

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