IP Library Granted Patent US 12,243,318
Granted Patent B2
US 12,243,318 · App. 18/329,880 · Granted Mar 4, 2025

Determining a mood for a group

Inventor: Sheldon Chang (Venice, CA)
Assignee: Snap Inc.
G06V20/53G06V40/175G06V40/176G06V40/20G06F2203/011
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,243,318
App. No.
18/329,880
Granted
Mar 4, 2025
Kind
B2
Abstract

A system and method for determining a mood for a crowd is disclosed. In example embodiments, a method includes identifying an event that includes two or more attendees, receiving at least one indicator representing emotions of attendees, determining a numerical value for each of the indicators, and aggregating the numerical values to determine an aggregate mood of the attendees of the event.

Claims (52)

1. A method comprising:

receiving, by one or more processors over a computer network, messages from one or more sources comprising mobile computing devices within a given location, the mobile computing devices associated with respective social network members, the messages being exchanged between the social network members using the mobile computing devices, and one or more of the messages comprising one or more images of one or more faces of attendees of an event;

computing, by the one or more processors, a number of the messages within the given location received from the one or more sources;

comparing, by the one or more processors, the number of the messages within the given location received from the one or more sources to a threshold number of messages;

in response to determining that the number of the messages within the given location received from the one or more sources exceeds the threshold number of messages, determining, by the one or more processors, a mood of the messages within the given location received from the one or more sources based on content included in the messages based on a determined numerical value representing an intensity of emotion for the one or more images based on a distribution of points on the one or more faces of the attendees within the one or more images; and

generating a visual representation of the determined mood of the messages.

2. The method of claim 1 , further comprising:

determining that the given location of the one or more sources is within a threshold distance of a geographic location; and

registering the event at the geographic location in response to determining that the number of the messages received from the one or more sources at the given location exceeds the threshold number of messages.

3. The method of claim 1 , further comprising:

causing display of a chart that is based on an aggregation of the numerical value.

4. The method of claim 1 , wherein generating the visual representation comprises:

generating a chart that displays a plurality of separate indicators for the attendees of the event having different demographical characteristics, a first indicator of the plurality of separate indicators comprising a video; and

determining a numerical value for the chart based on a magnitude of an audio signal included with the video.

5. The method of claim 1 , further comprising:

in response to determining that a quantity number of the messages fails to exceed the threshold number of messages, awaiting receipt of additional messages before determining the mood.

6. The method of claim 1 , further comprising transmitting an aggregate mood to a device of a host for the event at the given location.

7. The method of claim 1 , further comprising determining an aggregate mood of the attendees at the given location over a period of time.

8. The method of claim 1 , further comprising plotting an aggregate mood of the attendees at the given location.

9. A system comprising:

hardware processing circuitry; and

a hardware memory storing instructions that when executed configure the hardware processing circuitry to perform operations comprising:

receiving, over a computer network, messages within a given location from one or more sources comprising mobile computing devices, the mobile computing devices associated with respective social network members, the messages being exchanged between the social network members using the mobile computing devices, and one or more of the messages comprising one or more images of one or more faces of attendees of an event;

computing a number of the messages within the given location received from the one or more sources;

comparing the number of the messages received from the one or more sources to a threshold number of messages;

in response to determining that the number of the messages within the given location received from the one or more sources exceeds the threshold number of messages, determining a mood of the messages received from the one or more sources based on content included in the messages based on a determined numerical value representing an intensity of emotion for the one or more images based on a distribution of points on the one or more faces of the attendees within the one or more images; and

generating a visual representation of the determined mood of the messages.

10. The system of claim 9 , the operations further comprising:

determining that the given location of the one or more sources is within a threshold distance of a geographic location; and

registering the event at the geographic location in response to determining that the number of the messages received from the one or more sources at the given location exceeds the threshold number of messages.

11. The system of claim 9 , wherein a given message of the messages includes one or more indicators comprising an image of a face of an attendee of the event, and the operations further comprise:

causing display of a chart that is based on an aggregation of the numerical value.

12. The system of claim 9 , wherein generating the visual representation comprises:

generating a chart that displays a plurality of separate indicators for the attendees of the event having different demographical characteristics, a first indicator of the plurality of separate indicators comprising a video; and

determining a numerical value for the chart based on a magnitude of an audio signal included with the video.

13. The system of claim 9 , the operations further comprising:

in response to determining that a quantity number of the messages fails to exceed the threshold number of messages, awaiting receipt of additional messages before determining the mood.

14. The system of claim 9 , the operations further comprising transmitting an aggregate mood to a device of a host for the event at the given location.

15. The system of claim 9 , the operations further comprising determining an aggregate mood of the attendees at the given location over a period of time.

16. The system of claim 9 , the operations further comprising plotting an aggregate mood of the attendees at the given location.

17. A non-transitory computer readable medium comprising non-transitory computer readable instructions for performing operations comprising:

receiving, over a computer network, messages within a given location from one or more sources comprising mobile computing devices, the mobile computing devices associated with respective social network members, the messages being exchanged between the social network members using the mobile computing devices, and one or more of the messages comprising one or more images of one or more faces of attendees of an event;

computing a number of the messages within the given location received from the one or more sources;

comparing the number of the messages received from the one or more sources to a threshold number of messages;

in response to determining that the number of the messages within the given location received from the one or more sources exceeds the threshold number of messages, determining a mood of the messages received from the one or more sources based on content included in the messages based on a determined numerical value representing an intensity of emotion for the one or more images based on a distribution of points on the one or more faces of the attendees within the one or more images; and

generating a visual representation of the determined mood of the messages.

18. The non-transitory computer readable medium of claim 17 , wherein the operations further comprise:

registering the event at the given location in response to determining that the number of the messages exceeds the threshold number of messages.

19. The non-transitory computer readable medium of claim 17 , wherein generating the visual representation comprises:

generating a chart that displays a plurality of separate indicators for the attendees of the event having different demographical characteristics, a first indicator of the plurality of separate indicators comprising a video; and

determining a numerical value for the chart based on a magnitude of an audio signal included with the video.

20. The non-transitory computer readable medium of claim 17 , the operations further comprising plotting an aggregate mood of the attendees at the given location.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2023
From: CHANG, SHELDON
To: SNAPCHAT, INC.
Reel/Frame 063870/0043 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2023
From: SNAPCHAT, INC.
To: SNAP INC.
Reel/Frame 063870/0110 →
Continuity (5)
Continuation 17653917 · Mar 8, 2022
Continuation 16657470 · Oct 18, 2019
Continuation 16037870 · Jul 17, 2018
Continuation 14691313 · Apr 20, 2015
Related Publication 20230316766A1 · Oct 5, 2023
References Cited (90)
US 6038295A · Mattes · 2000 [cited by applicant]
US 6980909B2 · Root et al. · 2005 [cited by applicant]
US 7173651B1 · Knowles · 2007 [cited by applicant]
US 7411493B2 · Smith · 2008 [cited by applicant]
US 7535890B2 · Rojas · 2009 [cited by applicant]
US 8131597B2 · Hudetz · 2012 [cited by applicant]
US 8199747B2 · Rojas et al. · 2012 [cited by applicant]
US 8332475B2 · Rosen et al. · 2012 [cited by applicant]
US 8363063B2 · Qu et al. · 2013 [cited by applicant]
US 8718333B2 · Wolf et al. · 2014 [cited by applicant]
US 8724622B2 · Rojas · 2014 [cited by applicant]
US 8762302B1 · Spivack et al. · 2014 [cited by applicant]
US 8874677B2 · Rosen et al. · 2014 [cited by applicant]
US 8909679B2 · Root et al. · 2014 [cited by applicant]
US 8995433B2 · Rojas · 2015 [cited by applicant]
US 9040574B2 · Wang et al. · 2015 [cited by applicant]
US 9055416B2 · Rosen et al. · 2015 [cited by applicant]
US 9100806B2 · Rosen et al. · 2015 [cited by applicant]
US 9100807B2 · Rosen et al. · 2015 [cited by applicant]
US 9191776B2 · Root et al. · 2015 [cited by applicant]
US 9204252B2 · Root · 2015 [cited by applicant]
US 9443227B2 · Evans et al. · 2016 [cited by applicant]
US 9489661B2 · Evans et al. · 2016 [cited by applicant]
US 9491134B2 · Rosen et al. · 2016 [cited by applicant]
US 10061977B1 · Chang et al. · 2018 [cited by applicant]
US 10496875B1 · Chang · 2019 [cited by applicant]
US 11301671B1 · Chang · 2022 [cited by applicant]
US 11710323B2 · Chang · 2023 [cited by examiner]
US 20040022432A1 · Hayata et al. · 2004 [cited by applicant]
US 20050131744A1 · Brown et al. · 2005 [cited by applicant]
US 20050182773A1 · Feinsmith · 2005 [cited by applicant]
US 20060115157A1 · Mori et al. · 2006 [cited by applicant]
US 20070041644A1 · Kim et al. · 2007 [cited by applicant]
US 20080154883A1 · Chowdhury et al. · 2008 [cited by applicant]
US 20090310828A1 · Kakadiaris et al. · 2009 [cited by applicant]
US 20090312998A1 · Berckmans et al. · 2009 [cited by applicant]
US 20100082751A1 · Meijer et al. · 2010 [cited by applicant]
US 20100253689A1 · Dinicola et al. · 2010 [cited by applicant]
US 20100312769A1 · Bailey et al. · 2010 [cited by applicant]
US 20110043602A1 · Lee · 2011 [cited by applicant]
US 20110158540A1 · Suzuki et al. · 2011 [cited by applicant]
US 20110202598A1 · Evans et al. · 2011 [cited by applicant]
US 20110282860A1 · Baarman et al. · 2011 [cited by applicant]
US 20110295392A1 · Cunnington et al. · 2011 [cited by applicant]
US 20110309946A1 · Jonsson et al. · 2011 [cited by applicant]
US 20110311112A1 · Matsuyama et al. · 2011 [cited by applicant]
US 20120209924A1 · Evans et al. · 2012 [cited by applicant]
US 20120223952A1 · Kanemaru et al. · 2012 [cited by applicant]
US 20120278064A1 · Leary et al. · 2012 [cited by applicant]
US 20130019187A1 · Hind et al. · 2013 [cited by applicant]
US 20130038756A1 · Cheng · 2013 [cited by applicant]
US 20130345840A1 · Lempel et al. · 2013 [cited by applicant]
US 20140002573A1 · Kim et al. · 2014 [cited by applicant]
US 20140025692A1 · Pappas · 2014 [cited by applicant]
US 20140101296A1 · Li et al. · 2014 [cited by applicant]
US 20140108309A1 · Frank et al. · 2014 [cited by applicant]
US 20140112556A1 · Kalinli-Akbacak · 2014 [cited by applicant]
US 20140236882A1 · Rishe · 2014 [cited by applicant]
US 20140280529A1 · Davis et al. · 2014 [cited by applicant]
US 20150106360A1 · Cao et al. · 2015 [cited by applicant]
US 20150265211A1 · Schneider et al. · 2015 [cited by applicant]
US 20150286858A1 · Shaburov et al. · 2015 [cited by applicant]
US 20160042226A1 · Cunico et al. · 2016 [cited by applicant]
US 20160379225A1 · Rider et al. · 2016 [cited by applicant]
US 20220189201A1 · Chang · 2022 [cited by applicant]
CA 2887596A1 · 2015 [cited by applicant]
“U.S. Appl. No. 14/691,313, Corrected Notice of Allowance mailed May 4, 2018”, 4 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Final Office Action mailed Oct. 13, 2017”, 14 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Non Final Office Action mailed Mar. 31, 2017”, 14 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Notice of Allowance mailed Feb. 12, 2018”, 8 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Notice of Allowance mailed Apr. 13, 2018”, 8 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Response Filed Jan. 11, 2018 to Final Office Action mailed Oct. 13, 2017”, 11 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Response filed Jan. 30, 2017 to Restriction Requirement mailed Nov. 29, 2016”, 6 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Response filed Jul. 6, 2017 to Non Final Office Action mailed Mar. 31, 2017”, 16 pgs. [cited by applicant]
“U.S. Appl. No. 14/691,313, Restriction Requirement mailed Nov. 29, 2016”, 5 pgs. [cited by applicant]
“U.S. Appl. No. 16/037,870, Final Office Action mailed Jun. 11, 2019”, 14 pgs. [cited by applicant]
“U.S. Appl. No. 16/037,870, Non Final Office Action mailed Sep. 7, 2018”, 13 pgs. [cited by applicant]
“U.S. Appl. No. 16/037,870, Notice of Allowance mailed Jul. 25, 2019”, 7 pgs. [cited by applicant]
“U.S. Appl. No. 16/037,870, Response filed Feb. 7, 2019 to Non Final Office Action mailed Sep. 7, 2018”, 13 pgs. [cited by applicant]
“U.S. Appl. No. 16/037,870, Response filed Jul. 12, 2019 to Final Office Action mailed Jun. 11, 2019”, 7 pgs. [cited by applicant]
“U.S. Appl. No. 16/657,470, Final Office Action mailed Aug. 31, 2021”, 8 pgs. [cited by applicant]
“U.S. Appl. No. 16/657,470, Non Final Office Action mailed Apr. 1, 2021”, 8 pgs. [cited by applicant]
“U.S. Appl. No. 16/657,470, Notice of Allowance mailed Dec. 13, 2021”, 13 pgs. [cited by applicant]
“U.S. Appl. No. 16/657,470, Response filed Jun. 22, 2021 to Non Final Office Action mailed Apr. 1, 2021”, 9 pages. [cited by applicant]
“U.S. Appl. No. 16/657,470, Response filed Oct. 28, 2021 to Final Office Action mailed Aug. 31, 2021”, 9 pgs. [cited by applicant]
“U.S. Appl. No. 17/653,917, Corrected Notice of Allowability mailed Mar. 15, 2023”, 2 pgs. [cited by applicant]
“U.S. Appl. No. 17/653,917, Non Final Office Action mailed Jan. 6, 2023”, 6 pgs. [cited by applicant]
“U.S. Appl. No. 17/653,917, Notice of Allowance mailed Mar. 7, 2023”, 7 pgs. [cited by applicant]
“U.S. Appl. No. 17/653,917, Response filed Feb. 20, 2023 to Non Final Office Action mailed Jan. 6, 2023”, 8 pgs. [cited by applicant]
Leyden, John, “This SMS will self-destruct in 40 seconds”, [Online] Retrieved from the Internet: <URL: http://www.theregister.co.uk/2005/12/12/stealthtext/>, (Dec. 12, 2005), 1 pg. [cited by applicant]