Electromyography-Based Control of a Finger-Hand Exoskeleton

Project Overview

• Objective: Evaluation of a HD-sEMG-based online finger intention detection for controlling a hand exoskeleton.
• Signal Processing: Preprocess HD-sEMG signals, extract relevant features, and analyze the system’s response.
• Data Analysis: Assess finger intention detection accuracy using recorded EMG data.
• C# Implementation: Minor adjustments may be needed within the existing framework.
• Evaluation:
  • Intention Detection Performance – Accuracy and reliability of HD-sEMG-based classification.
  • Exoskeleton Response – System latency, movement precision, and usability.
  • Overall System Feasibility – Performance analysis for real-time applications.