DocumentCode
2723062
Title
Hand force estimation using fast orthogonal search
Author
Eklund, J. Mikael ; Mobasser, Farid ; Hashtrudi-Zaad, K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
1
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
695
Lastpage
698
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.
Keywords
biomechanics; biomedical electrodes; electromyography; force measurement; force sensors; EMG electrodes; electromyogram; fast orthogonal search; hand force estimation; sensed elbow angular position; single degree-of-freedom robotic experimental testbed; Elbow; Electrodes; Electromyography; Force measurement; Force sensors; Muscles; Robot sensing systems; Signal processing; Testing; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1403253
Filename
1403253
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