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A framework of human impedance recognition

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conference contribution
posted on 2023-06-09, 18:35 authored by Jing Luo, Chao Liu, Yanan LiYanan Li, Chenguang Yang
A framework for recognizing the human intention of human forearm is developed. For a cooperative task, friendly and safe interaction is a key issue when humans directly interaction with the robots. Therefore, estimating the dynamics and intention of the human hand are very meaningful in the human machine interaction. A human subject puts his hand on the force sensor when a haptic device sets force in the proposed framework, the measured force, the surface electromyographic signal and the motion of the hand are employed to estimate the parameters of human forearm's impedance. The performance and feasibility of developed framework are verified.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

2019 25th International Conference on Automation and Computing (ICAC)

Publisher

Institute of Electrical and Electronics Engineers

Event name

The 25th International Conference on Automation and Computing (ICAC'19)

Event location

Lancaster, UK

Event type

conference

Event date

5 - 7 September, 2019

ISBN

9781861376657

Department affiliated with

  • Engineering and Design Publications

Notes

This work was partially supported by National Nature Science Foundation (NSFC) under Grants 61861136009 and 61811530281.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-08-07

First Open Access (FOA) Date

2019-08-07

First Compliant Deposit (FCD) Date

2019-08-06

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