K-Nearest Neighbours and Ensemble Based Real-Time Hand Gesture Recognition for Powered Wheelchair
Author:
Affiliation:
1. Swinburne University of Technology,Department of Engineering Technologies,Melbourne,Australia
2. Swinburne University of Technology,Department of Computing Technologies,Melbourne,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10272721/10272696/10272954.pdf?arnumber=10272954
Reference23 articles.
1. Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight]
2. The extraction of neural strategies from the surface EMG
3. Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals
4. Real-time Control of a Mobile Robot using Electrooculogram based Eye Tracking System
5. Regression based real-time hand gesture recognition and control for electric powered wheelchair;iqbal;Proceeding of Australasian Conference on Robotics and Automation,2022
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1. Cooperative User Interface for AGV – Proof of Concept;Communications in Computer and Information Science;2024
2. Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals;Medical & Biological Engineering & Computing;2023-09-26
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