Automatically Constructing a Compact Concept Map of Dance Motion with Motion Captured Data

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2010
Subtitle of host publication9th International Conference, Proceedings
PublisherSpringer Verlag
Pages329-338
Volume6483 LNCS
ISBN (Print)364217406, 9783642174063
Publication statusPublished - 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6483 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title9th International Conference on Advances in Web-Based Learning, ICWL 2010
PlaceChina
CityShanghai
Period8 - 10 December 2010

Abstract

In recent years, E-learning has become a popular research topic with its wide applications. As an important factor of E-learning, concept map is a powerful way to manage knowledge. In this paper, we describe our approach for determining a compact concept map of an input dance motion obtained from the 3D motion capture technology. The dance motion is analyzed to extract the repetitive patterns and then the prerequisite relations are computed as the inclusion relation among patterns. A concept map can then be constructed automatically for illustrating such relations. The transitive reduction algorithm is applied to remove the redundant edges such that the resulting concept map retains a compact representation of the dance structure. This concept map can be used to generate dance lessons such that a learner can learn the dance motion in a step-by-step and logical manner. © 2010 Springer-Verlag Berlin Heidelberg.

Research Area(s)

  • Compact representation, Concept map, Motion capture, Prerequisite relation, Transitive reduction

Citation Format(s)

Automatically Constructing a Compact Concept Map of Dance Motion with Motion Captured Data. / Yang, Yang; Leung, Howard; Yue, Lihua; Deng, Liqun.

Advances in Web-Based Learning, ICWL 2010: 9th International Conference, Proceedings. Vol. 6483 LNCS Springer Verlag, 2010. p. 329-338 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6483 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review