A syntactical modeling and classification for performance evaluation of Bali traditional dance

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

This paper presents a linguistically motivated approach for dance gesture performance evaluation using skeleton tracking to robustly classify arbitrary dance gesture into one of predefined gesture classes and provide performance score in regards to the dance master's gesture. The gesture class in this study is a set common gesture of Bali traditional dances. The dance gesture is represented as a set of skeleton feature descriptors that are extracted from images captured using Kinect depth sensor. A set of rules are learned from the training examples to capture the structure of the gesture motion using grammar inference method. The empiric results showed that elbow and foot of dance performer are the most discriminative features for representing dance gesture of Bali traditional dance. Probabilistic and deterministic grammars achieved 0.92 and 0.95 of average precision for recognizing the tested dance gestures.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages261-265
Number of pages5
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
Country/TerritoryIndonesia
CityDepok
Period1/12/122/12/12

Fingerprint

Dive into the research topics of 'A syntactical modeling and classification for performance evaluation of Bali traditional dance'. Together they form a unique fingerprint.

Cite this