DocumentCode :
554212
Title :
Non-contact human-computer interaction system based on gesture recognition
Author :
Xiaoqiong Wang ; Zhuyan Li ; Jiangfeng Bai
Author_Institution :
Sch. of Inf., Guizhou Inst. of Finance & Econ., Guiyang, China
Volume :
1
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
125
Lastpage :
128
Abstract :
A non-contact human-computer interaction system based on gesture recognition is presented in this paper. It tracks and collects the operator´s gestures image via two digital high-definition video cameras at a specific location, uses Image Recognition Algorithms to detect gestures change information, and thus controls mouse movements on the computer screen. The experimental results show that this system can support the operator´s fingers non-contact accurately to simulate actions of mouse clicks, synchronous positioning and trigger detection operations, etc. This system can be widely used in large screen media show, intelligent scheduling monitoring, interactive teaching entertainment and other many human-computer interaction occasions.
Keywords :
gesture recognition; human computer interaction; video signal processing; computer screen; gesture recognition; image recognition algorithms; intelligent scheduling monitoring; interactive teaching entertainment; mouse movements; noncontact human computer interaction system; trigger detection operations; video cameras; Cameras; Field programmable gate arrays; Human computer interaction; Image color analysis; Image segmentation; Image sensors; Skin; gesture recognition; human-computer interaction; non-contact;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6022878
Filename :
6022878
Link To Document :
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