Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer VisionNitzan Luxembourg 1, Dvir Ben-Dov 1, Rufael Fekadu Marew 2, Dvir Teitelbaum 1, Ieva Vebraite Adereth 1, Yael Hanein 1,3
1School of Electrical Engineering, Tel Aviv University, 2Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), 3X-trodes Ltd.
The paper presents a comprehensive protocol for simultaneously recording hand-electromyography (EMG) and visual finger tracking during natural finger gesturing. The visual data is designed to serve as the ground truth for the development of accurate EMG-based computational models for finger gesture recognition.
