Left and right hand distinction for multi-touch tabletop interactions

ISCAS OpenIR

	Left and right hand distinction for multi-touch tabletop interactions
	Zhang, Zhensong (1); Zhang, Fengjun (1); Chen, Hui (1); Liu, Jiasheng (3); Wang, Hongan (1); Dai, Guozhong (1)
	2014
会议名称	19th International Conference on Intelligent User Interfaces, IUI 2014
页码	47-56
会议日期	February 24, 2014 - February 27, 2014
会议地点	Haifa, Israel
收录类别	EI
出版地	Association for Computing Machinery
ISBN	9781450321846
部门归属	(1) 1Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China; (3) Information Center, Guodian Finance Co., Ltd., China
摘要	In multi-touch interactive systems, it is of great significance to distinguish which hand of the user is touching the surface in real time. Left-right hand distinction is essential for recognizing the multi-finger gestures and further fully exploring the potential of bimanual interaction. However, left-right hand distinction is beyond the capability of most existing multi-touch systems. In this paper, we present a new method for left and right hand distinction based on the human anatomy, work area, finger orientation and finger position. Considering the ergonomics principles of gesture designing, the body-forearm triangle model was proposed. Furthermore, a heuristic algorithm was introduced to group multi-touch contact points and then made left-right hand distinction. A dataset of 2880 images has been set up to evaluate the proposed left-right hand distinction method. The experimental results demonstrate that our method can guarantee the high recognition accuracy and real time performance in freely bimanual multi-touch interactions. © 2014 ACM.; In multi-touch interactive systems, it is of great significance to distinguish which hand of the user is touching the surface in real time. Left-right hand distinction is essential for recognizing the multi-finger gestures and further fully exploring the potential of bimanual interaction. However, left-right hand distinction is beyond the capability of most existing multi-touch systems. In this paper, we present a new method for left and right hand distinction based on the human anatomy, work area, finger orientation and finger position. Considering the ergonomics principles of gesture designing, the body-forearm triangle model was proposed. Furthermore, a heuristic algorithm was introduced to group multi-touch contact points and then made left-right hand distinction. A dataset of 2880 images has been set up to evaluate the proposed left-right hand distinction method. The experimental results demonstrate that our method can guarantee the high recognition accuracy and real time performance in freely bimanual multi-touch interactions. © 2014 ACM.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16588
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhang, Zhensong ,Zhang, Fengjun ,Chen, Hui ,et al. Left and right hand distinction for multi-touch tabletop interactions[C]. Association for Computing Machinery,2014:47-56.