A novel finger and hand pose estimation technique for real-time hand gesture recognition

	A novel finger and hand pose estimation technique for real-time hand gesture recognition
	Zhou, Yimin; Jiang, Guolai; Lin, Yaorong
刊名	PATTERN RECOGNITION
	2016
英文摘要	This paper presents a high-level hand feature extraction method for real-time gesture recognition. Firstly, the fingers are modelled as cylindrical objects due to their parallel edge feature. Then a novel algorithm is proposed to directly extract fingers from salient hand edges. Considering the handgeometrical characteristics, the hand posture is segmented and described based on the finger positions, palm center location and wrist position. Aweighted radial projection algorithm with the origin at the wrist position is applied to localize each finger. The developed system can not only extract extensional fingers but also flexional fingers with high accuracy. Furthermore, hand rotation and finger angle variation have no effect on the algorithm performance. The orientation of the gesture can be calculated without the aid of arm direction and it would not be disturbed by the bare arm area. Experiments have been performed to demonstrate that the proposed method can directly extract high-level hand feature and estimate hand poses in real-time.
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S0031320315002745
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/9852]
专题	深圳先进技术研究院_集成所
作者单位	PATTERN RECOGNITION
推荐引用方式 GB/T 7714	Zhou, Yimin,Jiang, Guolai,Lin, Yaorong. A novel finger and hand pose estimation technique for real-time hand gesture recognition[J]. PATTERN RECOGNITION,2016.
APA	Zhou, Yimin,Jiang, Guolai,&Lin, Yaorong.(2016).A novel finger and hand pose estimation technique for real-time hand gesture recognition.PATTERN RECOGNITION.
MLA	Zhou, Yimin,et al."A novel finger and hand pose estimation technique for real-time hand gesture recognition".PATTERN RECOGNITION (2016).