PATENT CLAIM ANALYSIS

Application Number: 16012802
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["345", "156000"]

Abstract:
A method, including receiving a three-dimensional (3D) map of at least a part of a body of a user ( 22 ) of a computerized system, and receiving a two dimensional (2D) image of the user, the image including an eye ( 34 ) of the user. 3D coordinates of a head ( 32 ) of the user are extracted from the 3D map and the 2D image, and a direction of a gaze performed by the user is identified based on the 3D coordinates of the head and the image of the eye.

Claim (Index 20):
A computer software product comprising a non-transitory computer-readable medium, in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive a sequence of three-dimensional (3D) maps of at least a part of a body of a user of the computer, and to receive an input indicative of light reflected off an element of an eye of the user,\n wherein the instructions cause the computer to process the 3D maps in order to identify a gesture performed by the user and to identify a direction of a gaze of the user based on the light reflected off the element of the eye, and to control a function of the computerized system responsively to the gesture and the direction of the gaze.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.36364
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13984031', '15256654', '13960823', '13960822', '13849514']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6965989186777588
- 35 USC 102 Novelty (BERT): 0.5306785203892207
- Combined Prediction Score: 0.680006878848905
- Mean Citation Score: 337.2185580000001
- Max Citation Score: 371.3965
- Similarity Product: 312.7116055378914

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