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 10):
The computerized system of  claim 1 , wherein the statistical model is a trained statistical model, and wherein updating the statistical model configuration comprises adjusting one or more parameters provided as input to the trained statistical model without retraining the trained statistical model.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 99.0
- Lexical Diversity: 1.77083
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16258409', '16258232', '16258442', '15974384', '15659018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6654333053417504
- 35 USC 102 Novelty (BERT): 0.54074424467049
- Combined Prediction Score: 0.6529643992746244
- Mean Citation Score: 308.838978
- Max Citation Score: 372.13522
- Similarity Product: 259.4447568778968

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