PATENT CLAIM ANALYSIS

Application Number: 15889787
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["348", "153000"]

Abstract:
A system for determining a person's field of view with respect to captured data (e.g., recorded audiovisual data). A multi-camera capture system (e.g. bodycam, vehicular camera, stereoscopic, 360-degree captures system) records audiovisual data of an event. The field of capture of a capture system or a field of capture of captured data combined from multiple capture systems may be greater than the field of view of a person. Facial features (e.g. eyes, ears, nose, and jawlines) of the person may be detected from the captured data. Facial features may be used to determine the field of view of the person with respect to the captured data. Sensors that detect head orientation may be used to determine the field of view of the person with respect to captured data. The field of view of the person may be shown with respect to the captured data when the captured data is played back.

Claim (Index 5):
The system of  claim 1  further comprising:\n a sensor that detects an orientation of a head of the user; \n a processing circuit; wherein:\n the sensor reports data regarding the orientation of the head of the user to the processing circuit; and \n the processing circuit stores the data from the sensor with the video data from the first camera and the second camera.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.67692
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14659373', '11756562', '15152214', '10519818', '14723066']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5865745605149306
- 35 USC 102 Novelty (BERT): 0.4732917660494042
- Combined Prediction Score: 0.5752462810683779
- Mean Citation Score: 131.67700200000002
- Max Citation Score: 133.27344
- Similarity Product: 90.2068296944904

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