Joko_Sutopo_Tensor Data Feature Extraction: The Result of Wayang Golek Menak Dance Capture Motion By Vector Quantization Method

Joko, Sutopo (2017) Joko_Sutopo_Tensor Data Feature Extraction: The Result of Wayang Golek Menak Dance Capture Motion By Vector Quantization Method. Tensor Data Feature Extraction: The Result of Wayang Golek Menak Dance Capture Motion by Vector Quantization Method, 12 (2). pp. 1-5. ISSN 1816-949X

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Abstract

Capturing the motion of wayang Golek Menak dance from Yogyakarta using Kinect sensore that produce motion data with format *.bvh (Biovision Hierarchy). The motion data have coordinat x,y,z, then the reduction is conducted by Principal Component Analysis (PCA) methods The result of data reduction by PCA is conducted using fituring process. Fituring is extraction feature that looking for the characteristic of feature so it can be classified. Fituring methods which is applied in this research is Vector Quantization (VQ). This method is for compressing feature data by making codebook then it’s changed into code vector that can use to classified on the next process. The result from Vector Quantization (VQ) method with code vector which the value is 00, 11, 11, 00 with the codebook 0,25; 0,5;0,75 and 1. Kata Kunci : extraction feature, dance motion, Vector Quantization (VQ), codebook, code vector.

Item Type: Article
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 09:49
Last Modified: 04 Apr 2023 09:49
URI: http://eprints.uty.ac.id/id/eprint/12554

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