Immersive and collaborative Taichi motion learning in various VR environments
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Title of host publication | Proceedings - IEEE Virtual Reality |
Publisher | IEEE Computer Society |
Pages | 307-308 |
ISBN (Print) | 9781509066476 |
Publication status | Published - 4 Apr 2017 |
Conference
Title | 19th IEEE Virtual Reality, VR 2017 |
---|---|
Place | United States |
City | Los Angeles |
Period | 18 - 22 March 2017 |
Link(s)
Abstract
Learning 'motion' online or from video tutorials is usually inefficient since it is difficult to deliver 'motion' information in traditional ways and in the ordinary PC platform. This paper presents ImmerTai, a system that can efficiently teach motion, in particular Chinese Taichi motion, in various immersive environments. ImmerTai captures the Taichi expert's motion and delivers to students the captured motion in multi-modal forms in immersive CAVE, HMD as well as ordinary PC environments. The students' motions are captured too for quality assessment and utilized to form a virtual collaborative learning atmosphere. We built up a Taichi motion dataset with 150 fundamental Taichi motions captured from 30 students, on which we evaluated the learning effectiveness and user experience of ImmerTai. The results show that ImmerTai can enhance the learning efficiency by up to 17.4% and the learning quality by up to 32.3%.
Research Area(s)
- Immersive education, Motion training, VR
Citation Format(s)
Immersive and collaborative Taichi motion learning in various VR environments. / He, Tianyu; Chen, Xiaoming; Chen, Zhibo et al.
Proceedings - IEEE Virtual Reality. IEEE Computer Society, 2017. p. 307-308 7892299.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review