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Techniques for anonymizing neuromuscular signal data

  • US 10,504,286 B2
  • Filed: 01/25/2019
  • Issued: 12/10/2019
  • Est. Priority Date: 01/25/2018
  • Status: Active Grant
First Claim
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1. A computerized system for anonymizing neuromuscular signals used to generate a musculoskeletal representation, the system comprising:

  • a plurality of neuromuscular sensors configured to continuously record a plurality of neuromuscular signals from a user, wherein the plurality of neuromuscular sensors are arranged on one or more wearable devices; and

    at least one computer processor programmed to;

    provide as input to a statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, wherein;

    the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals provided as input to the statistical model includes a first personal characteristic of the user, andthe statistical model is trained to remove the first personal characteristic of the user from the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and

    generate the musculoskeletal representation based, at least in part, on position estimates and/or force estimates output from the trained statistical model, wherein;

    the musculoskeletal representation is an anonymized musculoskeletal representation from which the first personal characteristic of the user has been removed, andthe statistical model has been trained using an adversarial training approach to remove the first personal characteristic of the user while predicting the position estimates and/or the force estimates associated with the musculoskeletal representation.

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