Enhancing Control Strategies for Hand Exoskeletons Through Modeling and Electromyogram-based Control-Reference-Cited by-同舟云学术

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Enhancing Control Strategies for Hand Exoskeletons Through Modeling and Electromyogram-based Control

Published:2024-06-30 Issue: Volume:135 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Abas Norafizah¹,Ganasegaran Kalaiyarasan¹,Ghani Nor Maniha Abdul²,Kassim Anuar Mohamed¹,Abas Mohd Azman³

Affiliation:

1. Universiti Teknikal Malaysia Melaka,FTKE,Department of Mechatronics,Malacca,Malaysia

2. Universiti Malaysia Pahang,Faculty of Electrical and Electronics Engineering Technology

3. University Health Centre Universiti Kebangsaan Malaysia Selangor,Malaysia

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651023.pdf?arnumber=10651023

Reference15 articles.

1. A Newly-Designed Wearable Robotic Hand Exoskeleton Controlled by EMG Signals and ROS Embedded Systems

2. Modelling and EMG-based Control of Upper Limb Exoskeletons for Hand Impairments;Abas

3. Continuous and simultaneous estimation of finger kinematics using inputs from an EMG-to-muscle activation model

4. Neural network committees for finger joint angle estimation from surface EMG signals

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