JoVE Journal

Bioengineering

This content is Free Access.

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

256 Views

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08:15 min

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March 28th, 2025

DOI :

10.3791/67766-v

March 28th, 2025

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Nitzan Luxembourg¹, Dvir Ben-Dov¹, Rufael Fekadu Marew², Dvir Teitelbaum¹, Ieva Vebraite Adereth¹, Yael Hanein¹^,³

¹School of Electrical Engineering, Tel Aviv University, ²Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), ³X-trodes Ltd.

Summary

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.

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Dynamic Hand Gesture Recognition

Surface Electromyography

Visual Data Synchronization

Prosthetic Rehabilitation

Human computer Interaction

Muscle Activity Mapping

EMG Signal Quality

Gesture Recognition Models

Data Acquisition Unit

Hand Tracking Camera Software

Signal Filtering

Electrode Array Attachment

Chapters in this video

0:00

Introduction

1:04

Setup and Operation Guide for EMG Data Acquisition

2:10

Participant Preparation for EMG and Finger Gesture Recognition

6:18

Data Collection, Synchronization and Analysis in Visual Finger Tracking

7:39

Representative Results

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