Vision Based Grasp Type Selection in Hand Prosthesis Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Vision Based Grasp Type Selection in Hand Prosthesis Using Convolutional Neural Networks

Published:2022-12-15 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
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Author:

Sufri Nur Anis Jasmin¹,As'Ari Muhammad Amir²,Jie Lorenz Yong Jun¹

Affiliation:

1. Faculty of Electrical Engineering Universiti Teknologi Malaysia (UTM),Department of Biomedical Engineering and Health Sciences,Skudai,Johor,Malaysia

2. Sport Innovation and Technology Centre (SITC) Universiti Teknologi Malaysia (UTM),Skudai,Johor,Malaysia

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037752/10037789/10038013.pdf?arnumber=10038013

Reference33 articles.

1. Improvement on upper limb body-powered prostheses (1921–2016): A systematic review

2. Prosthetic Limbs

3. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

4. Body-Powered Prosthetic Systems

5. Grasp Recognition for Programming by Demonstration

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