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Smart clothing for ambulatory human motion capture

  • US 10,321,873 B2
  • Filed: 08/03/2016
  • Issued: 06/18/2019
  • Est. Priority Date: 09/17/2013
  • Status: Active Grant
First Claim
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1. Smart clothing for ambulatory human motion capture comprising:

  • an article of clothing which is worn by a person;

    a first electromagnetic energy emitter;

    a first electromagnetic energy receiver;

    a first stretching and/or bending electromagnetic energy pathway which is configured to span along a helical path around between 50% and 100% of the circumference of an arm or leg which includes a body joint, wherein electromagnetic energy flows from the first electromagnetic energy emitter to the first electromagnetic energy receiver through the first pathway, wherein the first pathway is configured to span the body joint when the article of clothing is worn by the person, wherein motion of the body joint stretches and/or bends the first pathway, and wherein stretching and/or bending of the first pathway changes one or more first parameters of the flow of electromagnetic energy from the first electromagnetic energy emitter to the first electromagnetic energy receiver;

    a second electromagnetic energy emitter;

    a second electromagnetic energy receiver;

    a longitudinal stretching and/or bending electromagnetic energy second pathway,wherein the second pathway is configured to extend in a distal-to-proximal manner along a side of the arm or leg, wherein electromagnetic energy flows from the second electromagnetic energy emitter to the second electromagnetic energy receiver through the second pathway, wherein the second pathway is configured to span the body joint, wherein motion of the body joint stretches and/or bends the second pathway, and wherein stretching and/or bending of the second pathway changes one or more second parameters of the flow of electromagnetic energy from the second electromagnetic energy emitter to the second electromagnetic energy receiver; and

    a data processor, wherein the data processor analyzes changes in the one or more first parameters and changes in the one or more second parameters in order to measure motion of the body joint, and wherein combined multivariate analysis of data from both the first and second pathways provides more accurate measurement of body joint motion than data from either the first pathway or the second pathway alone.

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