On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition

On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition

Background: Robotic-based therapy has emerged as a prominent treatment modality for the rehabilitation of hand function impairment resulting from strokes. Aim: In this context, feature engineering becomes particularly important to estimate the intention of upper limb movements by utilizing machine l...

Full description

Saved in:
Bibliographic Details
Main Authors: Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:AI
Subjects:
EMG
feature engineering
gesture recognition
hand movement rehabilitation
machine learning
Online Access:https://www.mdpi.com/2673-2688/6/6/107
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-2688/6/6/107

Similar Items