Logic-Ca: A Fuzzy Logic-Based Framework for Enhancing the Camera Angles and the Field of View in Traditional Dance Documentation

Authors

  • Nugrahardi Ramadhani Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
  • Didit Prasetyo Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
  • Ary Mazharuddin Shiddiqi Department of Informatic Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
  • Intan Rizky Mutiaz Faculty of Art and Design, Institut Teknologi Bandung, Bandung, Indonesia
  • Mochamad Hariadi Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia | Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Volume: 15 | Issue: 5 | Pages: 26462-26470 | October 2025 | https://doi.org/10.48084/etasr.12505

Received: 2 June 2025 | Revised: 2 July 2025 and 10 July 2025 | Accepted: 11 July 2025 | Online: 29 July 2025


Corresponding author: Mochamad Hariadi

Abstract

This study presented a fuzzy logic framework to optimize the camera angles and Field of View (FOV) in the documentation of Indonesian traditional dances, specifically the Remo dance. The system utilized BioVision Hierarchy (BVH) Motion Capture (MoCap) data to dynamically modify the camera settings according to movement characteristics, such as velocity and spatial complexity. The framework incorporated five camera perspectives (eye level, low angle, high angle, frog angle, bird's eye) and three classes of FOV (narrow, medium, wide). The results indicated that a low angle with a narrow FOV most effectively captured the dramatic hand motions, whereas an eye level perspective with a medium FOV was appropriate for the neutral transitions. Validation by five specialists in dance and five in cinematography resulted in a Mean Opinion Score (MOS) of 79%, affirming the system's conformity with the conventional dance philosophy. The current approach decreased the manufacturing time by 25% and enhanced the adjustment precision compared to traditional methods. Future work will broaden the validation to additional dancing styles and integrate machine learning for improved accuracy.

Keywords:

traditional dance documentation, fuzzy logic, human motion capture, camera angle, field of view, cultural preservation

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How to Cite

[1]
N. Ramadhani, D. Prasetyo, A. M. Shiddiqi, I. R. Mutiaz, and M. Hariadi, “Logic-Ca: A Fuzzy Logic-Based Framework for Enhancing the Camera Angles and the Field of View in Traditional Dance Documentation”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 5, pp. 26462–26470, Oct. 2025.

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Copyright (c) 2025 Nugrahardi Ramadhani, Didit Prasetyo, Ary Mazharuddin Shiddiqi, Intan Rizky Mutiaz, Mochamad Hariadi

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