Virtual Kulintang prototype using computer vision

Authors

Christian James E. Barimbao Electrical and Electronics Engineering Institute, University of the Philippines Diliman
Martina Joanna A. Manuel Electrical and Electronics Engineering Institute, University of the Philippines Diliman
Claire Joy H. Ramos Electrical and Electronics Engineering Institute, University of the Philippines Diliman
Carl Timothy S. Tolentino Electrical and Electronics Engineering Institute, University of the Philippines Diliman
Maricor N. Soriano National Institute of Physics, University of the Philippines Diliman

Abstract

Philippine indigenous instruments, especially the Kulintang, face challenges related to cost, availability, and transportation. We developed a virtual Kulintang that exploits image processing techniques in Python's OpenCV to simulate the playing mechanics of the instrument using colored markers. Our goal is to introduce users to this instrument and further preserve its cultural significance. The system successfully detects and tracks the centroid of these markers, averaging 24 frames per second (FPS), while closely resembling the physical instrument's overall layout.

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Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2023-PC-21

Section

Poster Session C (Mathematical Physics, Optics, and Interdisciplinary Topics)

Published

2023-07-09

How to Cite

[1]

CJE Barimbao, MJA Manuel, CJH Ramos, CTS Tolentino, and MN Soriano, Virtual Kulintang prototype using computer vision, Proceedings of the Samahang Pisika ng Pilipinas 41, SPP-2023-PC-21 (2023). URL: https://proceedings.spp-online.org/article/view/SPP-2023-PC-21.