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
Link To Document :
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