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 9):
The computerized system of  claim 1 , wherein updating the statistical model configuration comprises training the statistical model based, at least in part, on the plurality of neuromuscular signals recorded during the calibration session.

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): 0.6640385155464805
- 35 USC 102 Novelty (BERT): 0.5407715126728366
- Combined Prediction Score: 0.6517118152591161
- Mean Citation Score: 308.838978
- Max Citation Score: 372.13522
- Similarity Product: 318.3645134882879

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