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Generation of personalized training regimens from motion capture data

  • US 9,161,708 B2
  • Filed: 03/14/2013
  • Issued: 10/20/2015
  • Est. Priority Date: 02/14/2013
  • Status: Active Grant
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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