PATENT CLAIM ANALYSIS

Application Number: 15974178
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["340", "573100"]

Abstract:
Techniques that facilitate condition detection in a virtual reality system and/or an augmented reality system are provided. In one example, a system includes a virtual reality component and an anomaly detection component. The virtual reality component collects motion data and biometric data from a virtual reality device. The motion data is indicative of motion information associated with one or more accelerometer sensors of the virtual reality device. The biometric data is indicative of biometric information associated with one or more biometric sensors of the virtual reality device. The anomaly detection component integrates the motion data and the biometric data into a machine learning model to generate anomaly detection data for the virtual reality device.

Claim (Index 4):
The system of  claim 1 , wherein the anomaly detection component determines whether the anomaly detection data satisfies a defined criterion associated with a concussion medical status for a user identity associated with the virtual reality device.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.42
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15906426', '13540335', '14430203', '14959244', '15971358']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6924871580185071
- 35 USC 102 Novelty (BERT): 0.497168629832494
- Combined Prediction Score: 0.6729553051999059
- Mean Citation Score: 187.499968
- Max Citation Score: 204.4082
- Similarity Product: 143.7218230321288

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

Dataset: test