EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation-Reference-Cited by-同舟云学术

EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation

Published:2022-04 Issue:2 Volume:7 Page:1566-1573
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Sierotowicz Marek¹^ORCID,Lotti Nicola²^ORCID,Nell Laura²,Missiroli Francesco²^ORCID,Alicea Ryan²,Zhang Xiaohui²,Xiloyannis Michele³^ORCID,Rupp Rudiger⁴,Papp Emese⁵,Krzywinski Jens⁵,Castellini Claudio¹^ORCID,Masia Lorenzo²^ORCID

Affiliation:

1. Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Wessling, Germany

2. Institute for Technical Informatics (ZITI), Heidelberg University, Heidelberg, Germany

3. Institute of Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland

4. Spinal Cord Injury Center of Heidelberg University Hospital, Heidelberg, Germany

5. Chair of Industrial Design Engineering, Technical University of Dresden, Dresden, Germany

Funder

Carl-Zeiss-Stiftung

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/ielx7/7083369/9647862/09669054.pdf?arnumber=9669054

Reference33 articles.

1. The embodiment of assistive devices—from wheelchair to exoskeleton

2. Having a body versus moving your body: Neural signatures of agency and body-ownership

3. The influence of action-outcome delay and arousal on sense of agency and the intentional binding effect

4. Design and Characterization of Hand Module for Whole-Arm Rehabilitation Following Stroke

5. SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

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