Literature DB >> 17271772

Hand force estimation using Fast Orthogonal Search.

J Mikael Eklund1, Farid Mobasser, K Hashtrudi-Zaad.   

Abstract

The use of the Fast Orthogonal Search (FOS) method is presented for the estimation of human hand force based on electromyogram (EMG) signal readings and sensed elbow angular position. The use of inexpensive and easily portable EMG electrodes and position sensors would be advantageous in many applications compared to the use of force sensors which are often very expensive and require bulky frames to be used. A single degree-of-freedom robotic experimental testbed has been constructed which allows for data collection, model identification and validation of EMG-force models. FOS identifies the models extremely rapidly with similar or better accuracy compared to existing methods.

Entities:  

Year:  2004        PMID: 17271772     DOI: 10.1109/IEMBS.2004.1403253

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Robust muscle force prediction using NMFSEMD denoising and FOS identification.

Authors:  Yuan Wang; Fan Li; Haoting Liu; Zhiqiang Zhang; Duming Wang; Shanguang Chen; Chunhui Wang; Jinhui Lan
Journal:  PLoS One       Date:  2022-08-03       Impact factor: 3.752

  1 in total

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