PATENT CLAIM ANALYSIS

Application Number: 15974384
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["704", "200000"]

Abstract:
Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors, arranged on one or more wearable devices, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models, and at least one computer processor programmed to provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer, and provide the at least one instruction to the speech recognizer.

Claim (Index 12):
The method of  claim 11 , wherein determining the at least one instruction comprises:\n determining based, at least in part, on the output of the one or more trained statistical models, a musculo-skeletal representation of the user; and determining, based on the determined musculo-skeletal representation, the at least one instruction for modifying the operation of the speech recognizer.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 93.0
- Lexical Diversity: 2.37705
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15659018', '11396770', '10341873', '14525826', '12425892']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2937161291278612
- 35 USC 102 Novelty (BERT): 0.4990986960753145
- Combined Prediction Score: 0.3142543858226065
- Mean Citation Score: 209.819598
- Max Citation Score: 253.58562
- Similarity Product: 184.74069345841167

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