title: Hand force estimation using Fast Orthogonal Search.
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.
authors.affiliation: Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA. eklund@eecs.berkeley.edu
authors.forename: J
authors.initials: J
authors.lastname: Mikael Eklund
authors.forename: Farid
authors.initials: F
authors.lastname: Mobasser
authors.forename: K
authors.initials: K
authors.lastname: Hashtrudi-Zaad