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
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;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022274