PATENT CLAIM ANALYSIS

Application Number: 16257979
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["345", "633000"]

Abstract:
Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.

Claim (Index 21):
A method of calibrating performance of one or more statistical models used to generate a musculoskeletal representation, the method comprising:\n recording a plurality of neuromuscular signals using a plurality of neuromuscular sensors arranged on at least one wearable device; processing at least some of the plurality of neuromuscular signals using a statistical model to generate the musculoskeletal representation; determining based, at least in part, on at least one aspect of the musculoskeletal representation, that calibration of the statistical model used to generate the musculoskeletal model is needed; initiating a calibration session in response to determining that calibration is needed; updating a statistical model configuration based, at least in part on a plurality of neuromuscular signals recorded by the plurality of neuromuscular sensors and ground-truth data representing position information and/or force information recorded during the calibration session to produce an updated statistical model; processing at least some of the plurality of neuromuscular signals using the updated statistical model to generate an updated musculoskeletal representation; determining, based, at least in part, on the at least one aspect of the updated musculoskeletal representation whether further calibration of the statistical model is needed; and ending the calibration session in response to determining that further calibration is not needed.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 99.0
- Lexical Diversity: 1.77083
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16258409', '16258232', '16258442', '15974384', '15659018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6378715555222072
- 35 USC 102 Novelty (BERT): 0.5384720179004959
- Combined Prediction Score: 0.627931601760036
- Mean Citation Score: 308.838978
- Max Citation Score: 372.13522
- Similarity Product: 283.74578108789564

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test