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Motion predictions of overlapping kinematic chains of a skeleton model used to control a computer system

  • US 10,416,755 B1
  • Filed: 06/01/2018
  • Issued: 09/17/2019
  • Est. Priority Date: 06/01/2018
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • a plurality of sensor modules, each respective sensor module in the plurality of sensor modules having an inertial measurement unit and attached to a portion of a user to generate motion data identifying a sequence of orientations of the portion of the user, the plurality of sensor modules including a first subset and a second subset that share a common sensor module between the first subset and the second subset;

    a computing device coupled to the plurality of sensor modules and configured to;

    provide orientation measurements generated by the first subset as input to a first artificial neural network;

    obtain, as output from the first artificial neural network, at least one first orientation measurement of a common part of the user on which the common sensor module is attached;

    provide orientation measurements generated by the second subset as input to a second artificial neural network;

    obtain, as output from the second artificial neural network, at least one second orientation measurement of the common part; and

    generate a predicted orientation measurement of the common part from combining the at least one first orientation measurement of the common part and the at least one second orientation measurement of the common part.

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