Unistroke gestures on multi-touch interaction: supporting flexible touches with key stroke extraction

  • Authors:
  • Yingying Jiang;Feng Tian;Xiaolong Zhang;Wei Liu;Guozhong Dai;Hongan Wang

  • Affiliations:
  • Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Pennsylvania State University, University Park, Pennsylvania, United States;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
  • Year:
  • 2012

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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.