A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Gesture Recognition of Dance using Chain Code and Hidden Markov Model
2019
International Journal of Advanced Trends in Computer Science and Engineering
Dance one culture consists of motion. This paper seeks to recognize Golek Menak Dance movement to be easily studied from Indonesia, where the dance of the dancers (actor) is performed by using the motion capture Kinect sensor which then produces motion data format with Biovision Hierarchy (BVH), where data is a tensor which has position x, y, z. This research use test data Jogetan and Sabetan movement carried out featuring by Chain Code 15 (CC-15), which is a combination of 15 directions with
doi:10.30534/ijatcse/2019/85862019
fatcat:tgv3zhzbqzfhnm2yqllhss6ah4