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Title:
Left and right hand distinction for multi-touch tabletop interactions
Author: Zhang, Zhensong (1) ; Zhang, Fengjun (1) ; Chen, Hui (1) ; Liu, Jiasheng (3) ; Wang, Hongan (1) ; Dai, Guozhong (1)
Conference Name: 19th International Conference on Intelligent User Interfaces, IUI 2014
Conference Date: February 24, 2014 - February 27, 2014
Issued Date: 2014
Conference Place: Haifa, Israel
Publish Place: Association for Computing Machinery
Indexed Type: EI
ISBN: 9781450321846
Department: (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
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16588
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhang, Zhensong ,Zhang, Fengjun ,Chen, Hui ,et al. Left and right hand distinction for multi-touch tabletop interactions[C]. 见:19th International Conference on Intelligent User Interfaces, IUI 2014. Haifa, Israel. February 24, 2014 - February 27, 2014.
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