DocumentCode :
690349
Title :
A Survey on Hand Gesture Recognition
Author :
Lingchen Chen ; Feng Wang ; Hui Deng ; Kaifan Ji
Author_Institution :
Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2013
fDate :
14-15 Dec. 2013
Firstpage :
313
Lastpage :
316
Abstract :
Hand gesture recognition has become one of the key techniques of human-computer interaction (HCI). Many researchers are devoted in this field. In this paper, firstly the history of hand gesture recognition is discussed and the technical difficulties are also enumerated. Then, we analyze the definition of hand gesture and introduce the basic principle of it. The approaches for hand gesture recognition, such as vision-based, glove-based and depth-based, are contrasted briefly in this paper. But the former two methods are too simple and not natural enough. Currently, the new finger identification and hand gesture recognition technique with Kinect depth data is the most popular research direction. Finally, we discuss the application prospective of hand gesture recognition based on Kinect.
Keywords :
gesture recognition; human computer interaction; image sensors; HCI; Kinect depth data; depth-based; finger identification; glove-based; hand gesture recognition; human-computer interaction; vision-based; Cameras; Computers; Gesture recognition; Human computer interaction; Robots; Thumb; Hand Gesture Recognition; Human-Computer Interaction (HCI); Kinect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
Type :
conf
DOI :
10.1109/CSA.2013.79
Filename :
6835606
Link To Document :
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