Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot-Reference-Cited by-同舟云学术

Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot

Published:2022-04 Issue:2 Volume:7 Page:3890-3897
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Furukawa Jun-ichiro^ORCID,Okajima Shotaro^ORCID,An Qi^ORCID,Nakamura Yuichi^ORCID,Morimoto Jun

Funder

RIKEN-Kyushu University of Science and Technology Hub Collaborative Research Program

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09706304.pdf?arnumber=9706304

Reference27 articles.

1. Event-based control for sit-to-stand transition using a wearable exoskeleton

2. Multiple kernel learning SVM-based EMG pattern classification for lower limb control

3. SVM based simultaneous hand movements classification using sEMG signals

4. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals

5. Attenuating the impact of limb position on surface EMG pattern recognition using a mixed-LDA classifier

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3. A Focused Review on Soft Robotic Exosuits for Sitting to Standing Transfers;Robotics Reports;2024-03-01

4. Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities;Annual Review of Biomedical Engineering;2023-10-13

5. Improving Repeatability of Surface Electromyography Measurement of Sit-to-Stand Motions by Using Muscle Synergy;2023