Generation of personalized training regimens from motion capture data
First Claim
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1. A computer-based method for identifying a training regimen for a subject, the method performed on at least one computer having a processor, a memory and input/output capability, the method comprising:
- recording, via infrared motion capture technology that comprises a single sensor that recognizes one or more nodes at various positions on the subject'"'"'s anatomy, three-dimensional (x,y,z) coordinates of the one or more nodes at a sequence of times, t, while the subject performs one or more exercises;
constructing, by a first computer, a motion profile for the subject based on a sequence of the three-dimensional (x,y,z) coordinates of the one or more nodes at the sequence of times, t, wherein the motion profile comprises a range of node angle values identified between at least two or more nodes while the subject performs the one or more of the exercises;
comparing, by the first computer, the motion profile of the subject with a database of previously recorded motion profiles from a statistical sampling of motion profiles of a population of subjects, the statistical sampling of motion profiles of the population selected based on a demographic corresponding to the subject;
identifying one or more restricted ranges of motion or combination of motions based on a deviation between the motion profile for the subject and the previously recorded motion profiles from the statistical sampling of motion profiles of the population of subjects in the database;
generating, by the first computer, a scoring function for a biomechanical aspect of a movement pathology based on the statistical sampling of motion profiles of the population of subjects performing the one or more exercises;
determining, by the first computer, a score for the motion profile of the subject using the scoring function and at least one biomechanical value corresponding to the subject performing the one or more recorded exercises; and
communicating, via an output device, a training regimen for the subject, the training regimen developed based on the score for the motion profile of the subject.
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Abstract
The use of motion capture data for analyzing an individual'"'"'s performance on certain exercises, and more particularly relates to comparison of movement data for an individual with a database of recorded motions for a population in order to generate a training regimen for the individual, and to monitor the individual'"'"'s progress when carrying out the training regimen.
87 Citations
18 Claims
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1. A computer-based method for identifying a training regimen for a subject, the method performed on at least one computer having a processor, a memory and input/output capability, the method comprising:
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recording, via infrared motion capture technology that comprises a single sensor that recognizes one or more nodes at various positions on the subject'"'"'s anatomy, three-dimensional (x,y,z) coordinates of the one or more nodes at a sequence of times, t, while the subject performs one or more exercises; constructing, by a first computer, a motion profile for the subject based on a sequence of the three-dimensional (x,y,z) coordinates of the one or more nodes at the sequence of times, t, wherein the motion profile comprises a range of node angle values identified between at least two or more nodes while the subject performs the one or more of the exercises; comparing, by the first computer, the motion profile of the subject with a database of previously recorded motion profiles from a statistical sampling of motion profiles of a population of subjects, the statistical sampling of motion profiles of the population selected based on a demographic corresponding to the subject; identifying one or more restricted ranges of motion or combination of motions based on a deviation between the motion profile for the subject and the previously recorded motion profiles from the statistical sampling of motion profiles of the population of subjects in the database; generating, by the first computer, a scoring function for a biomechanical aspect of a movement pathology based on the statistical sampling of motion profiles of the population of subjects performing the one or more exercises; determining, by the first computer, a score for the motion profile of the subject using the scoring function and at least one biomechanical value corresponding to the subject performing the one or more recorded exercises; and communicating, via an output device, a training regimen for the subject, the training regimen developed based on the score for the motion profile of the subject. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for identifying a training regimen for a subject, the apparatus comprising:
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a single infrared recording device that is not worn by the subject and which recognizes one or more nodes at various positions on the subject'"'"'s anatomy, and which receives data that describes three-dimensional (x,y,z) coordinates of the one or more nodes at a sequence of times, t, while the subject performs one or more exercises; a transmission channel for communicating the data to one or more computing devices; wherein the one or more computing devices each comprises a memory, an output device, and one or more processors configured with instructions to; construct a motion profile for the subject based on a sequence of the three-dimensional (x,y,z) coordinates of the one or more nodes at the sequence of times, t, wherein the motion profile comprises a range of joint angle values identified between at least two or more nodes while the subject performs the one or more exercises; compare the motion profile of the subject with a database of previously recorded motion profiles from a statistical sampling of motion profiles of a population of subjects, the statistical sampling of motion profiles of the population selected based on a demographic corresponding to the subject, wherein the database is stored in one of the memories; identify a restricted range of motion or combination of motions based on a deviation between the motion profile for the subject and the previously recorded motion profiles from the statistical sampling of motion profiles of the population of subjects in the database; generate a scoring function for a biomechanical aspect of a movement pathology based on the statistical sampling of motion profiles of the population of subjects performing the one or more exercises; determine a score for the motion profile of the subject using the scoring function and at least one biomechanical value corresponding to the subject performing the one or more recorded exercises; and communicate, via the output device, a training regimen for the subject, the training regimen developed based on the score for the motion profile of the subject. - View Dependent Claims (16, 17, 18)
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Specification