PATENT CLAIM ANALYSIS

Application Number: 16435062
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["345", "156000"]

Abstract:
A computer-implemented method for determining a gaze position of a user, comprising: receiving an initial image of at least one eye of the user; extracting at least one color component of the initial image to obtain a corresponding at least one component image; for each component image, determining a respective internal representation; determining an estimated gaze position in the initial image by applying a respective primary stream to obtain a respective internal representation for each of the at least one component image; and outputting the estimated gaze position. The processing of the component images is performed using a neural network configured to, at run time and after the neural network has been trained, process the component images using one or more neural network layers to generate the estimated gaze position. A system for determining a gaze position of a user is also provided.

Claim (Index 5):
The computer-implemented method of  claim 4 , wherein the internal stream starts at a fusion layer receiving at least the respective internal representation and further comprises an output layer downstream the fusion layer and comprising at least one fully-connected layer.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 100.0
- Lexical Diversity: 2.38462
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15195942', '16005610', '15941980', '15942003', '15138821']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5795077661702849
- 35 USC 102 Novelty (BERT): 0.5110400757345878
- Combined Prediction Score: 0.5726609971267151
- Mean Citation Score: 205.209382
- Max Citation Score: 225.40823
- Similarity Product: 137.52640482379198

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