PATENT CLAIM ANALYSIS

Application Number: 15974430
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 and 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 for determining text based on audio input and the plurality of neuromuscular signals, at least one input interface configured to receive the audio input, and at least one computer processor programmed to obtain the audio input and the plurality of neuromuscular signals, provide as input to the one or more trained statistical models, the audio input and the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, the text.

Claim (Index 20):
The method of  claim 18 , wherein the first portion and the second portion are non-overlapping.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.54098
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15974384', '15659018', '13450861', '15862935', '14525826']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2920762013649954
- 35 USC 102 Novelty (BERT): 0.5612084101838422
- Combined Prediction Score: 0.3189894222468801
- Mean Citation Score: 265.37586
- Max Citation Score: 464.40753
- Similarity Product: 343.7479962296999

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

Dataset: test