PATENT CLAIM ANALYSIS

Application Number: 15894124
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "156000"]

Abstract:
A system for detecting a gazing point of a user in a three-dimensional (3D) space based on a virtual screen is provided. The system includes at least a processor and a wearable device, the wearable device further comprising an external camera arranged for capturing images of the user's field of view, and two internal cameras arranged for capturing binocular images of the user's left and right eyes. The processor is designed to determine the gazing point of the user based on a virtual screen. The coordinates of the pupil center as determined according to the images from the internal cameras are mapped to the images from the external camera based on a left and a right mapping relationships, which further mapped to the virtual screen as an intermediate screen for calculating the 3D coordinates of the gazing point.

Claim (Index 4):
The method of  claim 1 , wherein the calibrating of the external cameras and the internal cameras for obtaining the left and the right mapping relationships comprises:\n displaying the plurality of calibration points on the calibration screen sequentially, wherein each calibration point is positioned at one of corners of the calibration screen; determining, according to one or more images captured by the one or more external cameras, a plurality of calibration points coordinates for each of the plurality of calibration points; determining, according to one or more images captured by the two or more internal cameras, a plurality of pupil center calibration points coordinates of the user's left and right eyes when the user fixates on each of the plurality of calibration points; and mapping the plurality of calibration points coordinates with the plurality of pupil center calibration points coordinates of the user's left and right eyes for each of the plurality of calibration points.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.22388
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14891578', '13215365', '15545328', '15770354', '14226136']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6357242663605208
- 35 USC 102 Novelty (BERT): 0.502146785519482
- Combined Prediction Score: 0.6223665182764169
- Mean Citation Score: 221.745498
- Max Citation Score: 240.18398
- Similarity Product: 178.52741159294723

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