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.