MATLAB research code for user-independent sEMG hand-gesture recognition and powered-wheelchair control using multiclass SVM/ECOC, associated with Iqbal et al. (2024).
-
Updated
Aug 12, 2026 - MATLAB
MATLAB research code for user-independent sEMG hand-gesture recognition and powered-wheelchair control using multiclass SVM/ECOC, associated with Iqbal et al. (2024).
This project implements a machine learning model for real-time hand gesture recognition, enabling control of a powered wheelchair. It utilizes regression techniques to interpret hand gestures, allowing users to navigate the wheelchair effortlessly. Built with Matlab.
This package is for Baxter and WHILL cooperative movement to perform robotic clothing assistance.
This repository contains source code, data and paper submitted to HSI2020
♿ 🦽 тО 🛴 Thesis work submitted at Computer Science department at University of Rome La Sapienza. uppdated by Aibolem at October 2024
An Arduino-based wheelchair that responds to Bluetooth voice commands with obstacle detection.
To associate your repository with the wheelchair-robot-control topic, visit your repo's landing page and select "manage topics."