ISCAS OpenIR
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
会议名称2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12
会议录名称International Conference on Intelligent User Interfaces, Proceedings IUI
页码85-88
会议日期February 14, 2012 - February 17, 2012
会议地点Lisbon, Portugal
收录类别EI
ISBN9781450310482
部门归属(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
摘要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.
关键词Gesture Recognition
主办者ACM Special Interest Group on Artificial Intelligence (SIGART); ACM Special Interest Group on Artificial Intelligence (SIGCHI)
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/15693
专题中国科学院软件研究所
推荐引用方式
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.
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