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Title:
unistroke gestures on multi-touch interaction: supporting flexible touches with key stroke extraction
Author: Jiang Yingying ; Tian Feng ; Zhang Xiaolong ; Liu Wei ; Dai Guozhong ; Wang Hongan
Source: International Conference on Intelligent User Interfaces, Proceedings IUI
Conference Name: 2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12
Conference Date: February 14, 2012 - February 17, 2012
Issued Date: 2012
Conference Place: Lisbon, Portugal
Keyword: Gesture recognition
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
Sponsorship: ACM Special Interest Group on Artificial Intelligence (SIGART); ACM Special Interest Group on Artificial Intelligence (SIGCHI)
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.
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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15693
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Jiang Yingying,Tian Feng,Zhang Xiaolong,et al. unistroke gestures on multi-touch interaction: supporting flexible touches with key stroke extraction[C]. 见:2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12. Lisbon, Portugal. February 14, 2012 - February 17, 2012.
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