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 27):
The computerized system of  claim 22 , wherein the at least one computer processor is further programmed to provide feedback to the user, wherein the feedback indicates to the user whether the performance of the at least one gesture has been performed as instructed.

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): 0.6658980392822978
- 35 USC 102 Novelty (BERT): 0.5407351234116005
- Combined Prediction Score: 0.6533817476952282
- Mean Citation Score: 308.838978
- Max Citation Score: 372.13522
- Similarity Product: 239.7843945308649

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