PATENT CLAIM ANALYSIS

Application Number: 15976640
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["348", "078000"]

Abstract:
Techniques for reducing a read out time and power consumption of an image sensor used for eye tracking are described. In an example, a position of an eye element in an active area of a sensor is determined. The eye element can be any of an eye, a pupil of the eye, an iris of the eye, or a glint at the eye. A region of interest (ROI) around the position of the eye is defined. The image sensor reads out pixels confined to the ROI, thereby generating an ROI image that shows the eye element.

Claim (Index 6):
The method of  claim 1 , wherein the image is a DFS image that shows the eye and that is generated in a first image frame, wherein the ROI is positioned around the position corresponding to the eye, and further comprising:\n generating an ROI image based on pixel values of the subset in a second image frame, the ROI image showing the eye; detecting, from the ROI image, another position corresponding to the pupil; repositioning the ROI around the other position corresponding to the pupil; reading out only an updated subset of the pixels of the image sensor, wherein the updated subset corresponds to the repositioned ROI; and generating another ROI image based on updated pixel values of the updated subset in a third image frame, the other ROI image showing the pupil.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 93.0
- Lexical Diversity: 1.92857
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15472753', '12089595', '15446134', '15850692', '15446164']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5668752339140614
- 35 USC 102 Novelty (BERT): 0.4812760324258194
- Combined Prediction Score: 0.5583153137652371
- Mean Citation Score: 151.199486
- Max Citation Score: 153.14117
- Similarity Product: 101.05803298864842

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