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| 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 | |
| Conference Name | 19th International Conference on Intelligent User Interfaces, IUI 2014 |
| Pages | 47-56 |
| Conference Date | February 24, 2014 - February 27, 2014 |
| Conference Place | Haifa, Israel |
| Indexed Type | EI |
| Publish Place | Association for Computing Machinery |
| 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 |
| 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.; 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 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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