IP Library › Granted Patent US 12,190,611
Granted Patent B2
US 12,190,611 · App. 18/289,388 · Granted Jan 7, 2025

Computer-implemented method for generating a zone of attention

Inventors: Michael Hödlmoser (Schörfling, AT); Thomas Lang (Vienna, AT)
Assignee: emotion3D GmbH
G06V20/597
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Quick Facts
Patent No.
US 12,190,611
App. No.
18/289,388
Granted
Jan 7, 2025
Kind
B2
Abstract

A computer-implemented method for generating a geometric attention zone ( 1 ) for at least one person in a three-dimensional space ( 2 ), comprising a single image capturing unit ( 3 ), a data processing unit ( 4 ), a database ( 5 ) and a display unit ( 6 ), as well as a computer-readable storage medium and a device for executing such a method.

Claims (18)

1. A computer-implemented method for generating multiple geometric attention zones for at least one person in a three-dimensional space with a single image capturing unit, a data processing unit, a database and a display unit, comprising the following steps:

a. outputting, by the display unit, a request to the person to fixate at least one point in the space corresponding to a vertex of the attention zone to be created,

b. capturing, by the image capturing unit, a number N of first photographs of the space with the person and extracting, by the data processing unit, a number N of first three-dimensional gaze direction vectors BV 1 -BV N of the person, where N is greater than or equal to one,

c. outputting, by the display unit, a request to the person to change their position in the space and to re-fixate the vertices of the attention zone,

d. capturing, by the image capturing unit, a number N of second photographs of the space with the person and extracting, by the data processing unit, a number N of second three-dimensional gaze direction vectors BV 1 ′-BV N ′ of the person,

e. superimposing, by the data processing unit, the line of gaze direction vectors BV 1 -BV N with the line of gaze direction vectors BV 1 ′-BV N ′ in order to determine N three-dimensional intersection points P 1 -P N ,

f. storing, in the database, an attention zone as a polygon in the space with the vertices P 1 -P N .

2. The method according to claim 1 , wherein the number of vertices N is greater than or equal to three.

3. The method according to claim 1 , wherein the space is the interior of a vehicle.

4. The method according to claim 1 , wherein the method is repeated to create a plurality of attention zones of a single person.

5. The method according to claim 1 , wherein the method is repeated to create a plurality of attention zones of different persons.

6. The method according to claim 1 , wherein

a. after generating and storing one or more attention zones of at least one person, the image capturing unit continuously detects the gaze direction vectors of this person and transmits them to the data processing unit, and

b. the data processing unit checks whether the detected gaze direction vectors fall under one of the stored attention zones.

7. The method according to claim 6 , wherein

a. the data processing unit calculates a degree of attention of at least one person by determining the frequency with which the detected gaze direction vectors fall under one of the stored attention zones per unit of time, and

b. the display unit outputs a warning message when the level of attention drops below a predefined threshold.

8. A non-transitory computer-readable storage medium storing a program causing a computer to execute the method according to claim 1 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 18, 2024
From: HÖDLMOSER, MICHAEL; LANG, THOMAS
To: EMOTION3D GMBH
Reel/Frame 066156/0617 →
Priority Claims (1)
AT A50345/2021 · May 5, 2021 · national
Continuity (1)
Related Publication 20240273923A1 · Aug 15, 2024
References Cited (14)
US 10752253B1 · Nath · 2020 [cited by examiner]
US 11794753B2 · Arora · 2023 [cited by examiner]
US 20170108925A1 · Mueller · 2017 [cited by applicant]
US 20210357670A1 · Wu · 2021 [cited by examiner]
DE 102013019117 · 2015 [cited by applicant]
DE 102015204281 · 2016 [cited by applicant]
DE 102015220398 · 2017 [cited by applicant]
DE 102018208402 · 2019 [cited by applicant]
Internationaler Recherchenbericht und Schriftlicher Bescheid [International Search Report and the Written Opinion] Dated Jul. 4, 2022 From the International Searching Authority Re. Application No. PCT/AT2022/060129 and … [cited by applicant]
Vorbescheid [Preliminary Decision] Dated Jan. 21, 2022 From the Österreichisches Patentamt, Gruppe Erfindungen [Austrian Patent Office, Invention Group] Re. Application No. A 50345/2021. (6 Pages). [cited by applicant]
Mardanbegi “Resolving Target Ambiguity in 3D Gaze Internaction Through VOR Depth Estimation”, CCS '18, Proceedings of the 2018 ACM SIGSAC Conferenceon Computer and Communications Security, XP058635525, Chi 2019, Glasgow… [cited by applicant]
Pichitwong et al. “An Eye-Tracker-Based 3D Point-of-Gaze Estimation Method Using Head Movement”, IEEE Access, XP011737980, 7: 99086-99098, Jul. 16, 2019. [cited by applicant]
Vicente et al. “Driver Gaze Tracking and Eyes Off the Road Detection System”, IEEE Transactions on Intelligent Transportation Systems, XP011664673, 16(4): 2014-2027, Published Online Mar. 3, 2015. [cited by applicant]
Wang et al. “Continuous Driver's Gaze Zone Estimation Using RGB-D Camera”, Sensors, XP055934103, 19(6): 1287-1-1287-22, Mar. 14, 2019. [cited by applicant]