PATENT CLAIM ANALYSIS

Application Number: 15926408
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "232000"]

Abstract:
Methods, systems and apparatuses are provided to perform a continuous-to-continuous mapping of neural signal data received from one or more body sensors connected to an user wherein the one or more body sensors monitors at least neural activities of the user of a sub-vocalized voice at a sensory level and sends the neural signal data to a processor. The processor receives the neural signal data in an iterative closed loop to train the processor and to generate a sufficiently large data set in the neural signal domain to link to a produced voice domain. The processor constructs a common feature space which associates the neural signal domain with the produced voice domain wherein the common feature space implicitly extracts features related to audio communications for linking neural signal domain data to the produced voice data without requiring any prior feature classification of the received neural signal data.

Claim (Index 1):
A method for sub-vocalization, the method comprising:\n performing, by a processor that executes instructions contained in a non-transitory computer read-able medium, a continuous-to-continuous mapping of neural signal data received from one or more body sensors connected to an user wherein the one or more body sensors monitors at least neural activities of the user of a sub-vocalized voice at a sensory level and sends the neural signal data to the processor; receiving, by the processor, the neural signal data in an iterative closed loop for training the processor wherein the training enables generating a sufficiently large data set in the neural signal domain from the neural signal data to link to a produced voice domain; constructing a common feature space, by the processor, which associates the neural signal domain with the produced voice domain for producing audio communications wherein the common feature space implicitly extracts features related to audio communications using the sufficiently large data set by the common feature space for linking neural signal domain data to the produced voice data without requiring any prior feature classification of the received neural signal data; modeling by artificial neural networks (ANN) the continuous-to-continuous mapping of neural signal data received from the one or more body sensors connected to the user; and learning, by the processor, by iterations of the closed loop training of the processor a mapping of the common feature space for a set of common neural signal domain activity and, by a set of ANN based algorithms of the ANN while simultaneously modeling the common feature space.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 90.0
- Lexical Diversity: 2.06849
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15350293', '15697923', '13738868', '11169265', '14835192']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.235130343397357
- 35 USC 102 Novelty (BERT): 0.4714322172320986
- Combined Prediction Score: 0.2587605307808311
- Mean Citation Score: 161.128242
- Max Citation Score: 166.00447
- Similarity Product: 122.00235425031364

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