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Methods and apparatus for inferring user intent based on neuromuscular signals

  • US 10,409,371 B2
  • Filed: 07/25/2017
  • Issued: 09/10/2019
  • Est. Priority Date: 07/25/2016
  • Status: Active Grant
First Claim
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1. A control system, comprising:

  • a plurality of sensors configured to continuously record a plurality of neuromuscular signals from a user; and

    at least one computer processor programmed to;

    provide as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, wherein the trained statistical model was trained based, at least in part, on neuromuscular data recorded during at least one previous performance of a motor action by one or more users and result data indicating an outcome of the motor action performed by the one or more users, wherein the trained statistical model is configured to predict the onset of the motor action prior to completion of the motor action;

    predict, based on an output of the trained statistical model, whether an onset of the motor action will occur within a threshold amount of time; and

    send a control signal to at least one device based, at least in part, on the prediction, wherein the control signal is sent to the at least one device prior to completion of the motor action by the user to control an operation of the at least one device.

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