Research on Dynamic Gesture Recognition Algorithm Based on Multi-touch Human-computer Interaction Devices in Classroom Teaching
Zhao Zhang, Xiuling He, Zengzhao Chen, Ke Wu
Available Online January 2017.
- https://doi.org/10.2991/icmmita-16.2016.232How to use a DOI?
- Human-computer Interaction; Dynamic Gesture Recognition; Education Cloud Integration Platform of starC
- In this paper, we propose a dynamic gesture recognition approach based on multi-touch devices. This method contains three stages: dynamic gesture stroke collection, gesture feature extraction, gesture analysis and recognition. In order to recognize nine kinds of gestures in classroom interaction process, a point packet model with fault tolerance is proposed by applying convex of the gesture stroke, track length width ratio, geometric feature ratio and Freeman chain code information. Furthermore, this method combines the number of track points and fuzzy pattern recognition method, establishes the membership function of fuzzy set, and find out the fuzzy similarity relationship of gesture recognition. The experiments show that gesture recognition rate reaches 93% to recognize nine different dynamic gestures.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhao Zhang AU - Xiuling He AU - Zengzhao Chen AU - Ke Wu PY - 2017/01 DA - 2017/01 TI - Research on Dynamic Gesture Recognition Algorithm Based on Multi-touch Human-computer Interaction Devices in Classroom Teaching BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.232 DO - https://doi.org/10.2991/icmmita-16.2016.232 ID - Zhang2017/01 ER -