Author:
Gau Michael-Lian,Ting Huong Yong,Ting Jackie Tiew-Wei,Peter Marcella,Ibrahim Khairunnisa
Abstract
This research project aimed to develop a software program or an interactive dance motion analysis application that utilizes modern technology to preserve and maintain the Sarawak traditional dance culture. The software program employs the Microsoft Kinect V2 to collect the digital dance data. The proposed method analyses the collected dance data for comparison purposes only. The comparison process was executed by displaying a traditional dance on the screen where the user who wants to learn the traditional dance can follow it and obtain results on how similar the dance is compared to the recorded dance data. The comparison of the performed and recorded dance data was visualized in graph form. The comparison graph showed that the Microsoft Kinect V2 sensors were capable of comparing the dance motion but with minor glitches in detecting the joint orientation. Using better depth sensors would make the comparison more accurate and less likely to have problems with figuring out how the joints move.
Publisher
Tecno Scientifica Publishing
Reference19 articles.
1. State statistics: Malays edge past Chinese in Sarawak. (accessed on 15 March 2022) Available online: https://www.theborneopost.com/2014/02/08/state-statistics-malays-edge-past-chinese-in-sarawak/#:~:text=KUCHING%3A%20The%20Malays%20have%20overtaken,the%20Chinese%20stood%20at%20596%2C100.
2. Liu, X. (2013). The Influence of Video Games on 21st Century Youth Identity. Master Thesis. University of Victoria, Canada.
3. Huang, Yu; Huang, T.S. (2002). Model-based human body tracking. 2002 International Conference on Pattern Recognition, 1, 552-555. https://doi.org/10.1109/ICPR.2002.1044791.
4. Patra, B.G.; Das, D.; Bandyopadhyay, S. (2013). Unsupervised approach to Hindi music mood classification. Lecture Notes in Computer Science; Heidelberg, Germany; pp. 62–69. https://doi.org/10.1007/978-3-319-03844-5_7.
5. Protopapadakis, E.; Voulodimos, A.; Doulamis, A.; Camarinopoulos, S. (2017). A Study on the Use of Kinect Sensor in Traditional Folk Dances Recognition via Posture Analysis. Proceedings of the 10th International Conference on Pervasive Technologies Related to Assistive Environments, 305–310. https://doi.org/10.1145/3056540.3076200.