Tracking Deictic Gestures over Large Interactive Surfaces
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Springer
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In a collaborative environment, non-verbal communication elements carry important contents. These contents are partially or completely lost in remote collaboration. This paper presents a system to address this issue by tracking pointing gestures, the main non-verbal communication element prevalent in such meetings. The setup employs a touchscreen tabletop computer system for representing the visual content of the meeting, together with three motion trackers for tracking the pointing gestures.
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Computer supported collaborative work, Gesture detection, Non-verbal communication, Remote collaboration, Tabletop computing
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Number of citations to item: 3
- Xiangdong A. Li, Preben Hansen, Xiaolong Lou, Weidong Geng, Ren Peng (2017): Design and Evaluation of Cross-Objects User Interface for Whiteboard Interaction, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-58697-7_13
- Stephan Pƶlzer, Andreas Kunz, Ali Alavi, Klaus Miesenberger (2016): An Accessible Environment to Integrate Blind Participants into Brainstorming Sessions, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-41267-2_84
- Simon Liechti, Naina Dhingra, Andreas Kunz (2021): Detection and Localisation of Pointing, Pairing and Grouping Gestures for Brainstorming Meeting Applications, In: Communications in Computer and Information Science, doi:10.1007/978-3-030-78642-7_4