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All Journal Jurnal TNI Angkatan Udara
Mayang Sativa
Department of Electrical Engineering, Institut Teknologi Dirgantara Adisutjipto
Aerospace Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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REAL-TIME RECOGNITION OF ROTATIONAL HANDMOVEMENTS USING MEDIAPIPE AND OPENCV Yenni Astuti; Maria Asumpta Deny Kusumaningrum; Anggraini Kusumaningrum; Riani Nurdin; Mayang Sativa; Nur Priyanto Poupon; Tutiaditama
Jurnal TNI Angkatan Udara Vol 5 No 4 (2026): Jurnal TNI Angkatan Udara Triwulan Keempat
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/5r385216

Abstract

This study proposes a real-time gesture recognition system for detecting rotational hand movements (pitch, yaw, and roll) using MediaPipe and OpenCV for extracting features and classifying gestures. The method extracts angular features from hand landmarks and classifies gestures via a lightweight rule-based approach. The system was tested under twelve environmental scenarios, combining four distances (50 – 450 cm) and three lighting conditions, with 1,500 gesture samples from 10 participants. Results show 100% accuracy at 50 cm and 200 cm across all lighting conditions, with up to 93.3% accuracy at 300 cm, surpassing similar rule-based systems in performance. These findings demonstrate a low-cost, contactless solution for interactive systems
Co-Authors Anggraini Kusumaningrum Maria Asumpta Deny Kusumaningrum Nur Priyanto Poupon Riani Nurdin tutiaditama Yenni Astuti