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

8 Scopus Citations
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Author(s)

  • Tianyu He
  • Xiaoming Chen
  • Zhibo Chen
  • Ye Li
  • Sen Liu
  • Ying He

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - IEEE Virtual Reality
PublisherIEEE Computer Society
Pages307-308
ISBN (Print)9781509066476
Publication statusPublished - 4 Apr 2017

Conference

Title19th IEEE Virtual Reality, VR 2017
PlaceUnited States
CityLos Angeles
Period18 - 22 March 2017

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; Li, Ye; Liu, Sen; Hou, Junhui; He, Ying.

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