PATENT CLAIM ANALYSIS

Application Number: 16257906
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["345", "633000"]

Abstract:
An augmented reality system and methods for improving augmented reality are presented herein. Such systems are configured to monitor the brain state of an individual and configured to create a feedback loop whereby the brain state of the individual modulates parameters of the augmented reality system, thereby changing the augmented reality presented to the individual and tailoring the augmented reality presented to the individual in real time to suit the particular needs of the individual at any particular moment in time. Also presented herein are methods designed to monitor the brain state of an individual and create a feedback loop whereby the brain state of the individual modulates parameters of the augmented reality system, thereby changing the augmented reality presented to the individual and tailoring the augmented reality presented to the individual in real time to suit the particular needs of the individual at any particular moment in time.

Claim (Index 1):
An augmented reality system, comprising:\n (i) at least one augmented reality device, wherein the at least one augmented reality device is configured to create a plurality of augmented reality environments; (ii) at least one device configured to measure brain activity of a subject and collect particular electrical signal data representative of the brain activity of the subject; (iii) a processor configured, when executing a set of software instructions stored in a non-transient computer-readable hardware storage medium, to interpret brain activity of the subject, wherein the processor configured to interpret brain activity performs at least the following operations:\n 1) projecting, in real time, the collected particular electrical signal data representative of the brain activity of the subject onto a pre-determined ordering of a denoised optimal set of wavelet packet atoms to obtain a particular set of projections of the subject; \n 2) normalizing, in real time, the particular set of projections of the subject using the pre-determined set of normalization factors to form a particular set of normalized projections of the subject; \n 3) applying at least one machine learning algorithm to the particular set of normalized projections of the subject to determine, in real time, at least one particular normalized projection in the particular set of normalized projections which corresponds to the subject's electrical brain activity, wherein the processor is configured to determine the subject's electrical brain activity from the particular set of normalized projections of the subject; \n 4) generating, in real time, an indication of the electrical brain activity of the subject, wherein the indication correlates with an interpretation of the electrical brain activity of the subject; and \n 5) causing, based on the interpretation of the brain activity, a change in at least one parameter of the at least one augmented reality device, whereby the at least one augmented reality device is configured to alter, based on the change, a first augmented reality environment to present a second augmented reality environment to the subject, \n thereby changing, in real time, the augmented reality environment in response to the subject's brain activity.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 99.0
- Lexical Diversity: 3.42222
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15616503', '15045089', '15120348', '13540335', '13973146']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6124923185453417
- 35 USC 102 Novelty (BERT): 0.495621355533552
- Combined Prediction Score: 0.6008052222441628
- Mean Citation Score: 189.131564
- Max Citation Score: 244.55276
- Similarity Product: 179.87513818499087

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

Dataset: test