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All Journal JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Polingua : Scientific journal of Linguistics, Literature and Language Education MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Teknomekanik JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Vokasi Mekanika Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Proceeding Applied Business and Engineering Conference International Journal of Advanced Science Computing and Engineering Jurnal Akademik Pengabdian Masyarakat Jurnal Testing dan Implementasi Sistem Informasi
Fazrol Rozi, Fazrol
Department Of Information Technology, Politeknik Negeri Padang, Indonesia
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APPLIED MATHEMATICAL MODELING FOR 3D KINEMATIC SPATIAL RECONSTRUCTION IN A LOW-COST MONOCULAR WEBCAM-BASED SQUAT ANALYSIS SYSTEM Rozi, Fazrol; Primawati, Primawati; Komaini, Anton; Handayani, Sri Gusti
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 1 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i1.2197

Abstract

Squat is a fundamental exercise for improving lower body strength; however, improper execution may increase the risk of musculoskeletal injury. Conventional motion analysis systems, such as marker-based technologies, provide high accuracy but require expensive equipment and controlled environments, while monocular camera-based approaches often suffer from limited three-dimensional representation. Therefore, this study proposes a low-cost squat analysis system, gui_mocap, which integrates monocular computer vision with vector-based mathematical modeling for real-time motion analysis. The system employs pose estimation to detect body landmarks and reconstructs joint kinematics in three-dimensional space using geometric vector operations. Knee joint angles are computed using the dot product formulation, and an Exponential Moving Average (EMA) filter is applied to improve measurement stability. Experimental evaluation was conducted using multiple squat repetitions to analyze motion patterns and consistency. The results demonstrate that the system can accurately identify key movement phases, including standing, deep flexion, and return to standing, while producing smooth and stable joint angle trajectories. Furthermore, the system is capable of analyzing repeated movements and generating descriptive statistics, such as average joint angles and range of motion, indicating consistent performance across repetitions. This study contributes a practical and affordable solution for real-time motion analysis using a monocular webcam, with potential applications in home-based exercise monitoring and basic rehabilitation.
Co-Authors - Primawati - Yulherniwati Abdul Marfuad Aldo Erianda Ambiyar, Ambiyar Batara, Batara Bobby Kurniawan Cipto Prabowo Dedi Tri Laksono, Dedi Tri Dony Marzuki Efendi, Novi Fadhilah Oriyasmi Fadilillah, Fadli Fadli Fadilillah Faisal Amir Fanny Laila Safitri Fanny Laura Fauziah Wulandari Febri Prasetya Fiki Efendi Fithratul Miladiyenti Fitri Nova Fitri Nova, Fitri Fitriani Fitriani Furqon, Muhammad Ariful Gun Faisal Gusman, Taufik Handayani, Sri Gusti Hanif Aulia Sabri Haslina, Welsi Hidra Amnur Humaira, Humaira Ikhsan Yusda Prima Putra Indri Rahmayuni Indri Rahmayuni IndriRahamyuni Irfan Kurniawan Komaini, Anton Mardalisa, - Maulana, Raihan Efel Meri Azmi Miladiyenti, Fithratul Muhammad Irsad Alfajri Najwa, Nina Fadilah Novi Yanti Oriyasmi, Fadhilah Primawati Primawati Primawati Primawati, Primawati Primawati, - Putri Huriati Rasyidah Rasyidah Rasyidah, - Rika Idmayanti Risa Safira Riyanto Sariani, - Sariani, Sariani SONY SUHANDONO Syafira Indah Maryam Syawaldipa, Ardi Tiara Ramayani Wulansari, Rizki Ema Yance Sonatha Yufrizal Yufrizal ZukronAlviandyRahmadhan