User-controlled tuning of handstate representation model parameters

A method for enabling a person to select one or more statistical models used to generate a musculoskeletal representation, the one or more statistical models comprising a first statistical model and a second statistical model, the method comprising:

• providing as input to the first statistical model and the second statistical model, a plurality of neuromuscular signals recorded by neuromuscular sensors during performance of at least one gesture by a user;
• generating a first musculoskeletal representation based at least in part by:
• outputting from the first statistical model, first position estimates and/or first force estimates associated with the first musculoskeletal representation, and
• updating the first musculoskeletal representation based on the first position estimates and/or the first force estimates;
• generating a second musculoskeletal representation based at least in part by:
• outputting from the second statistical model, second position estimates and/or second force estimates associated with the second musculoskeletal representation, and
• updating the second musculoskeletal representation based on the second position estimates and/or the second force estimates;
• rendering a first visual representation based on the first musculoskeletal representation and a second visual representation based on the second musculoskeletal representation;
• repeatedly switching between displaying the rendered first visual representation and the rendered second visual representation;
• and
• receiving, subsequent to initiation of the displaying, input from the person comprising receiving a selection associated with the first visual representation or the second visual representation.

A computerized system configured to enable a person to select one or more statistical models used to generate a musculoskeletal representation, the one or more statistical models comprising a first statistical model and a second statistical model, the system comprising:

• a user interface configured to instruct a user to perform at least one gesture while wearing a wearable device having a plurality of neuromuscular sensors arranged thereon;
• and
• at least one computer processor programmed to:
• provide as input to the first statistical model and the second statistical model, a plurality of neuromuscular signals recorded by the neuromuscular sensors during performance of the at least one gesture by the user;
• generate a first musculoskeletal representation based at least in part by:
• outputting from the first statistical model, first position estimates and/or first force estimates associated with the first musculoskeletal representation, and
• updating the first musculoskeletal representation based on the first position estimates and/or the first force estimates;
• generate a second musculoskeletal representation based at least in part by:
• outputting from the second statistical model, second position estimates and/or second force estimates associated with the second musculoskeletal representation, and
• updating the second musculoskeletal representation based on the second position estimates and/or the second force estimates;
• render a first visual representation based on the first musculoskeletal representation and a second visual representation based on the second musculoskeletal representation;
• display the first visual representation and the second visual representation, at least in part, by overlaying the first visual representation with the second visual representation, wherein the first and second visual representations are rendered using different colors;
• and
• receive input from the person comprising receiving a selection associated with the first visual representation or the second visual representation.

A method for enabling a person to select one or more statistical models used to generate a musculoskeletal representation, the one or more statistical models comprising a first statistical model and a second statistical model, the method comprising:

• providing as input to the first statistical model and the second statistical model, a plurality of neuromuscular signals recorded by neuromuscular sensors during performance of at least one gesture by a user;
• generating a first musculoskeletal representation based at least in part by:
• outputting from the first statistical model, first position estimates and/or first force estimates associated with the first musculoskeletal representation, and
• updating the first musculoskeletal representation based on the first position estimates and/or the first force estimates;
• generating a second musculoskeletal representation based at least in part by:
• outputting from the second statistical model, second position estimates and/or second force estimates associated with the second musculoskeletal representation, and
• updating the second musculoskeletal representation based on the second position estimates and/or the second force estimates;
• rendering a first visual representation based on the first musculoskeletal representation and a second visual representation based on the second musculoskeletal representation;
• display the first visual representation and the second visual representation, at least in part, by overlaying the first visual representation with the second visual representation, wherein the first and second visual representations are rendered using different colors;
• and
• receive input from the person comprising receiving a selection associated with the first visual representation or the second visual representation.