METHOD, SYSTEM AND APPARATUS FOR REAL-TIME CLASSIFICATION OF MUSCLE SIGNALS FROM SELF -SELECTED INTENTIONAL MOVEMENTS
First Claim
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1. A method for muscle signal classification characterized by:
- (a) a user moving a device according to intentional movements selected by the user;
(b) recording and compiling the user'"'"'s muscle signals in association with the selected intentional movements; and
(c) mapping the muscle signals to the selected intentional movements.
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Abstract
A new method, system and apparatus is provided that enables muscle signals that correspond to muscle contractions to be mapped to one or more functions of an electronic device such as a prosthetic device or gaming apparatus. Muscle signals are classified in real-time from self-selected intentional movements. A self-training protocol allows users to select and label their own muscle contractions, and is operable to automatically determine the discernible and repeatable muscle signals generated by the user. A visual display means is used to provide visual feedback to users illustrating the responsiveness of the system to muscle signals generated by the user.
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Citations
31 Claims
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1. A method for muscle signal classification characterized by:
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(a) a user moving a device according to intentional movements selected by the user; (b) recording and compiling the user'"'"'s muscle signals in association with the selected intentional movements; and (c) mapping the muscle signals to the selected intentional movements. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for muscle signal classification to calibrate a device that is responsive to intentional movements of a user, the method characterized by:
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(a) enabling a user to move the device according to intentional movements selected by the user; (b) recording and compiling the user'"'"'s muscle signals in association with the selected intentional movements; (c) calculating natural logarithms of root-mean-square values associated with the muscle signals to yield features of the muscle signals; (d) clustering the features using a clustering algorithm, thereby defining one or more cluster centers in association with the features; (e) calculating membership values by comparing the features and the cluster centers; and (f) classifying the muscle signals according to the membership values.
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14. A system for muscle signal classification characterized in that the system includes:
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(a) a device operable to record a user'"'"'s muscle signals in association with one or more intentional movements selected by the user, the device including or being linked to a computer; and (b) a computer program operable on the computer to compile and classify the muscle signals by; (i) recording and compiling the user'"'"'s muscle signals in association with the selected intentional movements; and (ii) mapping the muscle signals to the selected intentional movements. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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21. A muscle signal activated apparatus characterized in that the apparatus includes:
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(a) a movable portion of the apparatus that is operable to record a user'"'"'s muscle signals in association with intentional movements; (b) an electronic device linked to the movable portion, the electronic device being operable to define a calibration mode for enabling the user to calibrate the apparatus, said electronic device being operable to; (i) provide cues to the user to perform specific intentional movements selected by the user; (ii) record and compile the user'"'"'s muscle signals in association with the selected intentional movements, and (iii) map the muscle signals to the selected intentional movements, thereby calibrating the muscle signal activation of the apparatus by the user. - View Dependent Claims (22, 23, 24, 25, 26)
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27. A computer program product for mapping muscle signals of a user to intentional movements of a device responsive to intentional movements of the user characterized in that the computer program includes instructions operable on a computer to:
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(a) provide cues to the user to perform specific intentional movements selected by the user; (b) record and compile the muscle signals in association with the selected intentional movements; and (c) map the muscle signals to the selected intentional movements, thereby calibrating the muscle signal activation of the device by the user. - View Dependent Claims (28, 29, 30, 31)
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Specification