A Broad Learning System Based Method for Estimating Force in Human-Robot Interaction-Reference-Cited by-同舟云学术

A Broad Learning System Based Method for Estimating Force in Human-Robot Interaction

Published:2022-02-26 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Robotics, Control and Automation (ICRCA)
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Author:

Li Ruiqing¹,Cai Yanshou²,Tang Biwei¹,Luo Jing¹,Pang Muye¹,Xiang Kui¹,Fu Jian¹

Affiliation:

1. Wuhan University of Technology,School of Automation,Wuhan,China

2. Asiainfo Technologies Limited,Wuhan,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828866/9828886/09828916.pdf?arnumber=9828916

Reference23 articles.

1. Using Physical Modeling and RGB-D Registration for Contact Force Sensing on Deformable Objects

2. Interpreting signal amplitudes in surface electromyography studies in sport and rehabilitation sciences;vigotsky;Frontiers in Physiology,2017

3. An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics;khoshdel;Industrial Robot An International Journal,2018

4. Application of statistical techniques and artificial neural network to estimate force from sEMG signals;khoshdel;Journal of AI and Data Mining,2016

5. Influence of post-stroke spasticity on EMG-force coupling and force steadiness in biceps brachii

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