Machine-Learning-Based Accurate Finger Joint Stiffness Estimation With Joint Modular Soft Actuators-Reference-Cited by-同舟云学术

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Machine-Learning-Based Accurate Finger Joint Stiffness Estimation With Joint Modular Soft Actuators

Published:2024-08 Issue:8 Volume:9 Page:7047-7054
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Matsunaga Fuko¹^ORCID,Oba Ema¹^ORCID,Ke Ming-Ta²^ORCID,Hsueh Ya-Hsin³^ORCID,Huang Shao Ying⁴^ORCID,Gomez-Tames Jose¹^ORCID,Yu Wenwei¹^ORCID

Affiliation:

1. Graduate School of Engineering, Chiba University, Chiba, Japan

2. Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, Yunlin, Taiwan

3. Department of Electronic Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan

4. Engineering Product Development pillar, Singapore University of Technology and Design, Singapore

Funder

Grant-in-Aid for Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10561888/10561603.pdf?arnumber=10561603

Reference24 articles.

1. Spastic movement disorder: impaired reflex function and altered muscle mechanics

2. Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment

3. Quantitative Assessment of Hand Spasticity After Stroke: Imaging Correlates and Impact on Motor Recovery

4. Interrater Reliability of a Modified Ashworth Scale of Muscle Spasticity

5. Development of elbow spasticity model for objective training of spasticity assessment of patients post stroke

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