Fatigue Estimation using Gaussian Process Regression for Bilateral Tele-Rehabilitation System with Electrical Stimulation-Reference-Cited by-同舟云学术

Fatigue Estimation using Gaussian Process Regression for Bilateral Tele-Rehabilitation System with Electrical Stimulation

Published:2022-08-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Control Technology and Applications (CCTA)
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Author:

Kawai Yasunori¹,Fujie Kenshin²,Kawai Hiroyuki³,Miyoshi Takanori⁴

Affiliation:

1. National Institute of Technology, Ishikawa College,Department of Electrical Engineering,Ishikawa,Japan,929-0392

2. National Institute of Technology, Ishikawa College,Advanced Engineering Course, Electronic and Mechanical Engineering Course,Ishikawa,Japan,929-0392

3. Kanazawa Institute of Technology,Department of Robotics,Ishikawa,Japan,921-8501

4. Nagaoka University of Technology,Department of System Safety,Niigata,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9965973/9965785/09966030.pdf?arnumber=9966030

Reference11 articles.

1. A Design Method of Wave Filter for Stabilizing Non-Passive Operating System;miyoshi;Proc 2006 IEEE Int Conf Control Application,0

2. Tele-Rehabilitation system for human lower limb using electrical stimulation based on bilateral teleoperation

3. Gaussian Process Based Disturbance Compensation for an Inverted Pendulum

4. Passivity-based Control for Bilateral Teleoperation: A Tutorial;nuno;Automatica,2011

5. Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs;grahoff;Proc of 2019 IEEE 58th Conference on Decision and Control (CDC),0

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