Systems and methods for predicting a defined motor state from augmented reality headset data for automatic cue activation

Abstract

An aspect of the invention provides a method for predicting a defined motor state from augmented reality headset data for automatic cue activation, the method comprising: receiving from at least one sensor of an augmented reality device: i) motion data corresponding to motion of a user; and ii) environmental data relating to the user's location; determining one or more parameters from the motion data and environmental data; assigning an output value to a function of the one or more parameters of the motion data and environmental data; comparing the output value to a trained data model; based on the comparison, determining a likelihood of freezing of gait; and automatically activating one or more types of cues on or via the augmented reality device upon determining that the likelihood of freezing of gait occurring is greater than a customizable threshold.

Dependencies are inferred from the claim text.