Techniques for anonymizing neuromuscular signal data

A computerized system for anonymizing neuromuscular signals used to generate a musculoskeletal representation, the computerized 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;
• generate, the musculoskeletal representation based, at least in part, on an output of the statistical model;
• and
• render a visual representation of the user based on the musculoskeletal representation, wherein at least one personal characteristic of the user is removed during rendering of the visual representation,
• wherein the visual representation includes estimates of positions associated with a plurality of rigid segments within the musculoskeletal representation.

A method for anonymizing neuromuscular signals used to generate a musculoskeletal representation, the method comprising:

• recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user;
• providing as input to a statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, wherein the statistical model is trained to remove at least one personal characteristic of the user from the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals;
• and
• generating, the musculoskeletal representation based, at least in part, on an output of the statistical model,
• wherein the musculoskeletal representation is an anonymized musculoskeletal representation of the user from which the at least one personal characteristic of the user has been removed, and
• the statistical model is further trained to predict estimates of positions associated with a plurality of rigid segments within the musculoskeletal representation.

A method for anonymizing neuromuscular signals used to generate a musculoskeletal representation, the method comprising:

• providing as input to a trained statistical model, a plurality of neuromuscular signals recorded from a user by a plurality of neuromuscular sensors and/or information based on the plurality of neuromuscular signals;
• generating the musculoskeletal representation based, at least in part, on an output of the trained statistical model;
• estimating positions associated with a plurality of rigid segments within the musculoskeletal representation;
• and
• rendering a visual representation based on the musculoskeletal representation, wherein at least one personal characteristic of the user is removed during rendering of the visual representation.