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A framework of human impedance recognition
conference contributionposted on 2023-06-09, 18:35 authored by Jing Luo, Chao Liu, Yanan 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.
- Accepted version
Journal2019 25th International Conference on Automation and Computing (ICAC)
PublisherInstitute of Electrical and Electronics Engineers
Event nameThe 25th International Conference on Automation and Computing (ICAC'19)
Event locationLancaster, UK
Event date5 - 7 September, 2019
Department affiliated with
- Engineering and Design Publications
NotesThis work was partially supported by National Nature Science Foundation (NSFC) under Grants 61861136009 and 61811530281.
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