PATENT CLAIM ANALYSIS

Application Number: 15909843
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["348", "078000"]

Abstract:
A method, an electronic device and a non-transitory computer readable medium for are provided. The method includes capturing a first eye and a second eye. The method also includes identifying a first position of the first eye and a second position the second eye. Additionally, the method includes staggering the capture of the first eye and the second eye, wherein the first eye is captured prior to capturing the second eye. The method also includes identifying the first gaze direction with respect to a display. The method further includes mapping the second gaze direction of the second eye based on the identified first gaze direction, prior to capturing the second eye.

Claim (Index 25):
The non-transitory computer readable medium of  claim 21 , further comprising program code that, when executed at the processor, causes the processor to render, on the display, at least two concentric areas of differing resolutions based on the identified first gaze direction or the mapped second gaze direction,\n wherein an inner concentric area is a high resolution, and resolution decreases at each larger concentric area, and wherein the inner concentric area matches the identified first gaze direction or the mapped second gaze direction.

Metadata:
- Claim Count in Document: 52.0
- Percentile: 90.0
- Lexical Diversity: 2.68889
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13544245', '15700005', '15335634', '15619395', '15387439']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.616532826887745
- 35 USC 102 Novelty (BERT): 0.4886314438968577
- Combined Prediction Score: 0.6037426885886563
- Mean Citation Score: 195.216916
- Max Citation Score: 198.35313
- Similarity Product: 134.71284947636966

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