Lightmyography Based Decoding of Human Intention Using Temporal Multi-Channel Transformers-Reference-Cited by-同舟云学术

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Lightmyography Based Decoding of Human Intention Using Temporal Multi-Channel Transformers

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Godoy Ricardo V.¹,Dwivedi Anany²,Shahmohammadi Mojtaba¹,Liarokapis Minas¹

Affiliation:

1. New Dexterity research group, The University of Auckland,Department of Me-chanical and Mechatronics Engineering,New Zealand

2. Anany Dwivedi is with the Institute of Autonomous Systems and Mechatronics, Friedrich-Alexander-Universitat Erlangen-Numberg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981514.pdf?arnumber=9981514

Reference49 articles.

1. Attention is all you need;vaswani;Advances in neural information processing systems,2017

2. On Lightmyography: A New Muscle Machine Interfacing Method for Decoding Human Intention and Motion

3. A Shared Control Framework for Robotic Telemanipulation Combining Electromyography Based Motion Estimation and Compliance Control

4. Gesture recognition for transhumeral prosthesis control using EMG and NIR

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multipurpose Human–Machine Interface via 3D-Printed Pressure-Based Force Myography;IEEE Transactions on Industrial Informatics;2024-06

2. Multi-Grasp Classification for the Control of Robot Hands Employing Transformers and Lightmyography Signals;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. On lightmyography based muscle-machine interfaces for the efficient decoding of human gestures and forces;Scientific Reports;2023-01-06

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