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A framework of human impedance recognition
conference contribution
posted on 2023-06-09, 18:35 authored by Jing Luo, Chao Liu, Yanan LiYanan Li, Chenguang YangA 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 EngineersExternal DOI
Event name
The 25th International Conference on Automation and Computing (ICAC'19)Event location
Lancaster, UKEvent type
conferenceEvent date
5 - 7 September, 2019ISBN
9781861376657Department 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