Title :
An Intelligent Hand Gesture Extraction and Recognition System for Home Care Application
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Yuanpei Univ., Hsinchu, Taiwan
Abstract :
This paper proposes a hand gesture extraction method. Based on motion detection and feature recognition, an intelligent hand gesture extraction method is achieved. It is possible to apply in most of homecare system, especially those patients without the ability to speak well. the system is also can apply in intelligent commercial devices control, such as television and light.
Keywords :
feature extraction; gesture recognition; health care; home automation; image motion analysis; intelligent control; patient care; feature recognition; home care application; home care system; intelligent commercial device control; intelligent hand gesture extraction method; intelligent hand gesture recognition system; motion detection; Computer vision; Data mining; Face; Feature extraction; Gesture recognition; Real-time systems; Skin; hand gesture; image processing; segmentation;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.57
