Institutional Repository
| unistroke gestures on multi-touch interaction: supporting flexible touches with key stroke extraction | |
| Jiang Yingying; Tian Feng; Zhang Xiaolong; Liu Wei; Dai Guozhong; Wang Hongan | |
| 2012 | |
| Conference Name | 2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12 |
| Source | International Conference on Intelligent User Interfaces, Proceedings IUI |
| Pages | 85-88 |
| Conference Date | February 14, 2012 - February 17, 2012 |
| Conference Place | Lisbon, Portugal |
| Indexed Type | EI |
| ISBN | 9781450310482 |
| Department | (1) Intelligence Engineering Lab. Institute of Software Chinese Academy of Sciences Beijing China; (2) Pennsylvania State University United States; (3) State Key Lab. of Computer Science Institute of Software Chinese Academy of Sciences Beijing China |
| English Abstract | Gesture inputs on multi-touch tabletops usually involve multiple fingers (more than two) and casual touchdowns or liftoffs of fingers. This flexibility of touch gestures allows more natural user interaction, but also poses new challenges for accurate recognition of multi-touch gestures. To address these challenges, we propose a new approach to recognize flexible multi-touch stroke gestures on tabletops. Based on a user study on multi-touch unistroke gestures, we develop a gesture recognition method by extracting key strokes embedded in flexible multi-touch input. Our evaluation study result shows that this method can greatly improve the recognition accuracy of flexible multi-touch unistroke gestures on tabletops. Copyright © 2012 ACM.; Gesture inputs on multi-touch tabletops usually involve multiple fingers (more than two) and casual touchdowns or liftoffs of fingers. This flexibility of touch gestures allows more natural user interaction, but also poses new challenges for accurate recognition of multi-touch gestures. To address these challenges, we propose a new approach to recognize flexible multi-touch stroke gestures on tabletops. Based on a user study on multi-touch unistroke gestures, we develop a gesture recognition method by extracting key strokes embedded in flexible multi-touch input. Our evaluation study result shows that this method can greatly improve the recognition accuracy of flexible multi-touch unistroke gestures on tabletops. Copyright © 2012 ACM. |
| Keyword | Gesture Recognition |
| Sponsorship | ACM Special Interest Group on Artificial Intelligence (SIGART); ACM Special Interest Group on Artificial Intelligence (SIGCHI) |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15693 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Jiang Yingying,Tian Feng,Zhang Xiaolong,et al. unistroke gestures on multi-touch interaction: supporting flexible touches with key stroke extraction[C],2012:85-88. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment