Grammar of Dance Gesture from Bali Traditional Dance
Automatic recognition of dance gesture is one important research area in computer vision with many potential applications. Bali traditional dance comprises of many dance gestures that relatively unchanged over the years. Although previous studies have reported various methods for recognizing gesture, to the best of our knowledge, a method to model and classify dance gesture of Bali traditional dance is still unfound in literature. The aim of this paper is to build a robust recognizer based on linguistic motivated method to recognize dance gesture of Bali traditional dance choreography. The empiric results showed that probabilistic grammar-based classifiers that were induced using the Alergia algorithm with Symbolic Aggregate Approximation (SAX) discretization method achieved 92% of average precision in recognizing a predefined set of dance gestures. The study also showed that the most discriminative features to represent Bali traditional dance gestures are skeleton joint features of: left/right foot and left/right elbow.
Keywords: Bali traditional dance, dance gesture recognition
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ABOUT THE AUTHORS
Yaya Heryadi
Yaya Heryadi is a researcher and lecturer at School of Computer Science, Bina Nusantara University. He got a Sarjana degree in Statistics and Computation from Bogor Agricultural University (IPB) in 1984, Bogor; Master of Science degree in Computer Science from Indiana University at Bloomington (IUB), Indiana, USA, in 1989. His research interests include computer vision, and image processing.
Mohamad Ivan Fanany
Dr. Mohamad Ivan Fanany is a researcher and lecturer at Faculty of Computer Science, University of Indonesia. His research interests include imaging science and engineering, 3D perception, reconstruction, recognition, and data mining. He got a degree in Physics at the Faculty of Mathematics and Natural Science in 1995. Before joining the faculty, he worked at Future Project Div. Toyota Motor Corp, Japan, as a member of middleware development and recognition team; NHK Engineering Services Inc., as a researcher of IT21 Millennium Project on Advanced High Resolution and Highly Sensible Presence 3D Content Creation funded by NICT Japan; and a JSPS Fellow and Research Assistant at Imaging Science and Engineering, Graduate School of Information Science and Engineering, Tokyo Institute of Technology (Titech). He served as the Chairman of Titech IEEE student branch 2002-2003 and member of IAPR, IEEE, and ACM SIGGRAPH.
Aniati Murni Arymurthy
Prof. Dr. Aniati Murni Arymurthy, Sarjana degree in Electrical Engineering from University of Indonesia; Master of Science degree in Computer Science from Ohio State University; and Doctor of Computer Science from University of Indonesia in 1997; and Professor at Faculty of Computer Science University of Indonesia.
Yaya Heryadi
Yaya Heryadi is a researcher and lecturer at School of Computer Science, Bina Nusantara University. He got a Sarjana degree in Statistics and Computation from Bogor Agricultural University (IPB) in 1984, Bogor; Master of Science degree in Computer Science from Indiana University at Bloomington (IUB), Indiana, USA, in 1989. His research interests include computer vision, and image processing.
Mohamad Ivan Fanany
Dr. Mohamad Ivan Fanany is a researcher and lecturer at Faculty of Computer Science, University of Indonesia. His research interests include imaging science and engineering, 3D perception, reconstruction, recognition, and data mining. He got a degree in Physics at the Faculty of Mathematics and Natural Science in 1995. Before joining the faculty, he worked at Future Project Div. Toyota Motor Corp, Japan, as a member of middleware development and recognition team; NHK Engineering Services Inc., as a researcher of IT21 Millennium Project on Advanced High Resolution and Highly Sensible Presence 3D Content Creation funded by NICT Japan; and a JSPS Fellow and Research Assistant at Imaging Science and Engineering, Graduate School of Information Science and Engineering, Tokyo Institute of Technology (Titech). He served as the Chairman of Titech IEEE student branch 2002-2003 and member of IAPR, IEEE, and ACM SIGGRAPH.
Aniati Murni Arymurthy
Prof. Dr. Aniati Murni Arymurthy, Sarjana degree in Electrical Engineering from University of Indonesia; Master of Science degree in Computer Science from Ohio State University; and Doctor of Computer Science from University of Indonesia in 1997; and Professor at Faculty of Computer Science University of Indonesia.
