The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 04, 2025

Filed:

May. 07, 2024
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Rahul Dasharath Gavas, Bangalore, IN;

Tince Varghese, Bangalore, IN;

Ramesh Kumar Ramakrishnan, Bangalore, IN;

Rolif Lima, Bangalore, IN;

Priya Singh, Bangalore, IN;

Shreyasi Datta, Bangalore, IN;

Somnath Karmakar, Kolkata, IN;

Mithun Basaralu Sheshachala, Bangalore, IN;

Arpan Pal, Kolkata, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 7/73 (2017.01); G06V 10/30 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 40/18 (2022.01);
U.S. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 7/73 (2017.01); G06V 10/30 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 40/193 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

This disclosure relates generally to method and system for predicting distance of gazed objects using IR camera. Eye tracking technology is widely used to study human behavior and patterns in eye movements. Existing gaze trackers focus on predicting gaze point and hardly analyzes distance of the gazed object from the gazer or directly classify region of focus. The method of the present disclosure predicts gazed objects distance using a pair of IR cameras placed on either side of a smart glass. The gaze predictor ML model predicts distance at least one gazed object positioned from eye of each subject during systematic execution of a set of tasks. From each pupillary information of each pupil a set of features are extracted which are utilized to classify the gazed object of the subject based on the distance into at least one of a near class, an intermediate class, and a far class.


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