Joko, Sutopo (2015) Feature Reduction of Wayang Golek Dance Data Using Principal Component Analysis (PCA). In: The First International Conference on Statistical Methods in Engineering, Science, Economy and Education (SESEE-2015), 19-20 September 2015, Yogyakarta.
![[img]](http://eprints.uty.ac.id/style/images/fileicons/text.png) |
Text
Feature Reduction of Wayang Golek Dance Data Using Principal Component Analysis (PCA).pdf Download (631kB) |
Abstract
One of the internally acknowledged Indonesian Culture inheritance is the Wayang Golek Menak Yogyakarta, which is usually performed with wood doll characters. The objective of the study is to apply motion capture (mocap) technique with Kinect Sensor to capture the Wayang Golek Menak dance movements and apply the Principal Component Analysis (PCA) to identify the specific patterns of the data and express them so that their similarities and differences can be seen. This method is useful as well to compress the data without losing the important information. The resulting BioVision Hierarchy (BVH) motion of this Kinect sensor is to simulate the wayang Golek Menak dance of sizes 149x54 and 151x54 dimension cartesius (x, y, z). Then these tensor cartesius data are converted into spherical frame of ℎ
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | N Fine Arts > NX Arts in general |
| Divisions: | Fakultas Sains Dan Teknologi > Data Science |
| Depositing User: | ST., MT. Joko Sutopo |
| Date Deposited: | 04 Apr 2023 09:51 |
| Last Modified: | 04 Apr 2023 09:51 |
| URI: | http://eprints.uty.ac.id/id/eprint/12536 |
Actions (login required)
 |
View Item |
