Date of Original Version

1997

Type

Conference Proceeding

Abstract or Description

We present a novel application of a neural network to augment manual precision by canceling involuntary motion. This method may be applied in microsurgery, using either a telerobotic approach or active compensation in a handheld instrument. A feedforward neural network is trained to input the measured trajectory of a handheld tool tip and output the intended trajectory. Use of the neural network decreases rms error in recordings from four subjects by an average of 43.9%.

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