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Updated: Jun 21, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
Published on: March 28, 2025
Federico Carpi1, Danilo De Rossi
1University of Pisa, Interdepartmental Research Centre E. Piaggio, School of Engineering, 56100 Pisa, Italy.
Man-machine interfaces interpret neural signals to control devices, bypassing damaged motor functions. This survey explores non-invasive interfaces using electromyography and gaze tracking for diverse applications.
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