Green Intelligent Systems and Applications
Vol. 2 Iss. 1 (2022)

Sarawak Traditional Dance Motion Analysis and Comparison using Microsoft Kinect V2

Michael-Lian Gau (Drone Research and Application Centre, School of Computing and Creative Media, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak)
Huong Yong Ting (Drone Research and Application Centre, School of Computing and Creative Media, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak)
Jackie Tiew-Wei Ting (Drone Research and Application Centre, School of Computing and Creative Media, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak)
Marcella Peter (Drone Research and Application Centre, School of Computing and Creative Media, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak)
Khairunnisa Ibrahim (Advanced Centre for Sustainable Socio-Economic and Technological Development, School of Computing and Creative Media, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak)



Article Info

Publish Date
17 Apr 2022

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.

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Journal Info

Abbrev

gisa

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

The journal is intended to provide a platform for research communities from different disciplines to disseminate, exchange and communicate all aspects of green technologies and intelligent systems. The topics of this journal include, but are not limited to: Green communication systems: 5G and 6G ...