Determining a mood for a group

Patent metadata

Field	Value
Publication number	US-11710323-B2
Application number	US-202217653917-A
Country	US
Kind code	B2
Filing date	Mar 8, 2022
Priority date	Apr 20, 2015
Publication date	Jul 25, 2023
Grant date	Jul 25, 2023

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.

First claim

What is claimed is:

1. A method comprising:
receiving, by one or more processors, messages from user devices at a given location;
computing, by the one or more processors, a number of the messages received from the user devices at the given location;
comparing, by the one or more processors, the number of the messages received from the user devices at the given location to a threshold number of messages;
in response to determining that the number of the messages received from the user devices at the given location transgresses the threshold number of messages, determining, by the one or more processors, a mood of the messages received from the user devices at the given location based on content included in the messages; and
generating a visual representation of the determined mood of the messages received from the user devices at the given location.

2. The method of claim 1 , further comprising:
determining that the given location of the user devices is within a threshold distance of a geographic location; and
registering an event at the geographic location in response to determining that the number of the messages received from the user devices at the given location exceeds the threshold number of messages.

3. The method of claim 1 , wherein a given message of the messages includes one or more indicators comprising an image of a face of an attendee of an event, and the method further comprises:
determining a numerical value representing an intensity of emotion for the image based on a distribution of points on the face of the attendee; and
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 attendees of an 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 transgress 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 an event at the given location.

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

8. The method of claim 1 , further comprising plotting an aggregate mood of 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 messages from user devices at a given location;
computing a number of the messages received from the user devices at the given location;
comparing the number of the messages received from the user devices at the given location to a threshold number of messages;
in response to determining that the number of the messages received from the user devices at the given location transgresses the threshold number of messages, determining a mood of the messages received from the user devices at the given location based on content included in the messages; and
generating a visual representation of the determined mood of the messages received from the user devices at the given location.

10. The system of claim 9 , the operations further comprising:
determining that the given location of the user devices is within a threshold distance of a geographic location; and
registering an event at the geographic location in response to determining that the number of the messages received from the user devices 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 an event, and the operations further comprise:
determining a numerical value representing an intensity of emotion for the image based on a distribution of points on the face of the attendee; and
causing display of a chart that is based on an aggregation of the numerical value.

12. The system of claim 9 , wherein generating he visual representation comprises:
generating a chart that displays a plurality of separate indicators for attendees of an 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 transgress the threshold number of messages, awaiting receipt of additional messages before determining the mood.

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

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

17. A non-transitory computer readable medium comprising non-transitory computer readable instructions for performing operations comprising:
receiving messages from user devices at a given location;
computing a number of the messages received from the user devices at the given location;
comparing the number of the messages received from the user devices at the given location to a threshold number of messages;
in response to determining that the number of the messages received from the user devices at the given location transgresses the threshold number of messages, determining a mood of the messages received from the user devices at the given location based on content included in the messages; and
generating a visual representation of the determined mood of the messages received from the user devices at the given location.

18. The non-transitory computer readable medium of claim 17 , wherein the operations further comprise:
registering an 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 attendees of an 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 attendees at the given location.

Assignees

• Snap Inc

Inventors

• Chang Sheldon

Classifications

• G06V20/53 Primary

  Recognition of crowd images, e.g. recognition of crowd congestion · CPC title

• G06V40/175 Primary

  Static expression · CPC title

• G06V40/176

  Dynamic expression · CPC title

• G06V40/20

  Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V40/16) · CPC title

• G06F2203/011

  Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns · CPC title