Left and right hand distinction for multi-touch tabletop interactions
文献类型：会议论文
| 作者 | Zhang, Zhensong (1) ; Zhang, Fengjun (1) ; Chen, Hui (1) ; Liu, Jiasheng (3) ; Wang, Hongan (1) ; Dai, Guozhong (1) |
| 出版日期 | 2014 |
| 会议名称 | 19th International Conference on Intelligent User Interfaces, IUI 2014 |
| 会议日期 | February 24, 2014 - February 27, 2014 |
| 会议地点 | Haifa, Israel |
| 页码 | 47-56 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录出版地 | Association for Computing Machinery |
| 语种 | 英语 |
| ISBN号 | 9781450321846 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16588]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:19th International Conference on Intelligent User Interfaces, IUI 2014. Haifa, Israel. February 24, 2014 - February 27, 2014. |
入库方式： OAI收割
来源：软件研究所
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