Multi-Touch Tabletop System Using Infrared Image Recognition for User Position Identification.
Shota Suto1,2, Toshiya Watanabe3, Susumu Shibusawa4
1Graduate School of Science and Engineering, Ibaraki University, Hitachi, Ibaraki 316-8511, Japan. macnamas@yahoo.co.jp.
This study introduces a multi-touch tabletop system that uses infrared image recognition to identify users and their actions. The system enables intuitive, collaborative interactions without user burden, enhancing group work and learning.
Area of Science:
- Human-Computer Interaction
- Computer Vision
- Collaborative Systems
Background:
- Multi-user collaboration systems require accurate user identification and interaction tracking.
- Existing methods often involve burdensome sensors attached to users or furniture.
- Visual processing offers a non-intrusive approach for recognizing user actions on interactive surfaces.
Purpose of the Study:
- To develop a multi-touch tabletop system utilizing infrared image recognition for user position identification.
- To enable the recognition of multi-touch gestures through visual means.
- To evaluate the system's usability and effectiveness in collaborative scenarios.
Main Methods:
- Development of a multi-touch tabletop system employing an inexpensive FTIR touch panel and infrared light.
- Utilizing an infrared camera to capture touch areas and hand shadows for user position estimation.
- Implementing gesture recognition for actions like object manipulation and duplication.
Main Results:
- The system successfully identifies user positions and distinguishes touch points using infrared imaging.
- Experiments demonstrated effective recognition of multi-touch gestures, including object rotation and copying.
- System usability evaluation indicated ease of learning and operation for users.
Conclusions:
- Infrared image recognition provides an effective and non-intrusive method for multi-touch tabletop interaction.
- The developed system facilitates collaborative work and learning through intuitive gesture recognition.
- The system demonstrates high usability, making it suitable for diverse collaborative settings.
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