DocumentCode
554093
Title
A real-time command system based on hand gesture recognition
Author
Jufeng Yang ; Jing Xu ; Mingda Li ; Dingzhen Zhang ; Congchao Wang
Author_Institution
Inst. of Machine Intell., Nankai Univ., Tianjin, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1588
Lastpage
1592
Abstract
Based on the idea of natural human-computer interaction, we design and implement a command system based on static hand gesture recognition. Firstly, the system continuously captures images by camera connected to the computer, and then determines whether there exists an available hand area based on the HSV (Hue-Saturation-Value) color model. It takes advantage of Fourier descriptors and K nearest neighbor classification to distinguish four different gestures. Finally, Microsoft Office PowerPoint can be controlled by the command corresponding to the identified gestures. Experiment results show that the system can meet the requirements of practical applications.
Keywords
Fourier transforms; gesture recognition; image classification; image colour analysis; Fourier descriptors; HSV color model; K nearest neighbor classification; Microsoft Office PowerPoint; hue-saturation-value; natural human-computer interaction; real-time command system; static hand gesture recognition; Cameras; Computers; Feature extraction; Gesture recognition; Real time systems; Shape; Training; Hand gesture recognition; command system; human-computer interaction;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022274
Filename
6022274
Link To Document