Disruptor mitigation

Patent metadata

Field	Value
Publication number	US-10769419-B2
Application number	US-201816133432-A
Country	US
Kind code	B2
Filing date	Sep 17, 2018
Priority date	Sep 17, 2018
Publication date	Sep 8, 2020
Grant date	Sep 8, 2020

Abstract

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining one or more data feed that includes data of individuals within a crowd, wherein the crowd comprises a plurality of individuals gathered within an area; examining data of the one or more data feed to return behavior parameter values for respective individuals of the plurality of individuals; identifying, using values of the behavior parameter values, a disrupted group of a plurality of the individuals of the crowd, wherein the identifying is in dependence on a first one or more criterion being satisfied; detecting, using values of the behavior parameter values, a disruptor individual within the disrupted group, the detecting in dependence on a second one or more criterion being satisfied; and providing, by machine logic, one more disruptor mitigation output to mitigate disruptive behavior of the disruptor individual.

First claim

What is claimed is:

1. A method comprising:
obtaining one or more data feed that includes data of individuals within a crowd, wherein the crowd comprises a plurality of individuals gathered within an area;
examining data of the one or more data feed to return behavior parameter values for respective individuals of the plurality of individuals;
identifying, using values of the behavior parameter values, a disrupted group of a plurality of the individuals of the crowd, wherein the identifying is in dependence on a first one or more criterion being satisfied;
detecting, using values of the behavior parameter values, a disruptor individual within the disrupted group, the detecting in dependence on a second one or more criterion being satisfied; and
providing, by machine logic, one more disruptor mitigation output to mitigate disruptive behavior of the disruptor individual, wherein the behavior parameter values for respective individuals of the crowd include sentiment parameter values, and wherein providing parameter values of the sentiment parameter values includes processing a video data stream provided by one or of more video camera for obtaining video image data representation of the crowd, wherein the processing the video data stream includes processing video data to return facial expression based sentiment parameter values for users within the crowd.

2. A method comprising:
obtaining one or more data feed that includes data of individuals within a crowd, wherein the crowd comprises a plurality of individuals gathered within an area;
examining data of the one or more data feed to return behavior parameter values for respective individuals of the plurality of individuals;
identifying, using values of the behavior parameter values, a disrupted group of a plurality of the individuals of the crowd, wherein the identifying is in dependence on a first one or more criterion being satisfied;
detecting, using values of the behavior parameter values, a disruptor individual within the disrupted group, the detecting in dependence on a second one or more criterion being satisfied; and
providing, by machine logic, one more disruptor mitigation output to mitigate disruptive behavior of the disruptor individual.

3. The method of claim 2 , wherein the providing, by machine logic, one more disruptor mitigation output includes providing one or more output to send a text based message to a client computer device of the disruptor individual prompting redirection of activity of the disruptor individual.

4. The method of claim 2 , wherein the providing, by machine logic, one more disruptor mitigation output includes providing one or more output to present a publicly observable message observable by individuals of the crowd prompting redirection of activity of the disruptor individual.

5. The method of claim 2 , wherein the providing, by machine logic, one more disruptor mitigation output includes providing one or more output to send a text based message to a client computer device of a certain individual in proximity with the disruptor individual, the text based message instructing the certain individual in respect to interactions with the disruptor individual.

6. The method of claim 2 , wherein the providing, by machine logic, one more disruptor mitigation output includes providing one or more output to send a text based message to a client computer device of the disruptor individual prompting redirection of activity of the disruptor individual, wherein the text based message is in dependence on historical data stored in a data repository specifying preferences of the disruptor individual, wherein the method includes performing video data processing to return an identifier for the disruptor individual, returning a preference for the disruptor individual using the identifier, and providing the text based message in dependence on the identifier.

7. The method of claim 2 , wherein the providing, by machine logic, one more disruptor mitigation output includes providing one or more output to activate a physical barrier within the area to redirect traffic of the crowd within the area.

8. The method of claim 2 , wherein the behavior parameter values for respective individuals of the crowd include sentiment parameter values, and wherein providing parameter values of the sentiment parameter values includes processing a video data stream provided by one or of more video camera for obtaining video image data representation of the crowd.

9. The method of claim 2 , wherein the behavior parameter values for respective individuals of the crowd include sentiment parameter values, and wherein providing parameter values of the sentiment parameter values includes processing text based data provided by users of the crowd, text based data selected from the group consisting of social media postings and text based messages delivered by a messaging system.

10. The method of claim 2 , wherein the behavior parameter values for respective individuals of the crowd include network utilization level parameter values, and wherein providing parameter values of the network utilization parameter values includes monitoring data uploads from and data downloads to client computer devices of individuals within the crowd.

11. The method of claim 2 , wherein the behavior parameter values for respective individuals of the crowd include biometric variance parameter values, and wherein providing parameter values of the biometric variance parameter values includes processing biometric sensor outputs from integrated biometric sensors of wearable client computer devices being worn by users of the crowd.

12. The method of claim 2 , wherein the first one or more criterion includes the criterion that a group aggregate sentiment parameter value associated to the group differs from a group aggregate sentiment parameter value associated to the crowd gathered in the area by more than a difference threshold value.

13. The method of claim 2 , wherein the second one or more criterion includes the criterion that a sentiment value associated to the disruptor individual differs from an aggregate sentiment value associated to disrupted group by more than a difference threshold value.

14. The method of claim 2 , wherein the first one or more criterion includes the criterion that a group aggregate behavior parameter value associated to the disrupted group differs from a group aggregate behavior parameter value associated to the crowd within the area by more than a difference threshold value, and wherein the second one or more criterion includes the criterion that a candidate disruptor individual among the disrupted group has exhibited a threshold exceeding behavior parameter value than has been exhibited by second candidate disruptor individual among the disrupted group.

15. The method of claim 2 , wherein the identifying includes using moving window processing, wherein each window is a candidate disrupted region, and wherein the method includes calculating group aggregate sentiment values for each window and comparing the group aggregate sentiment values for each window to a group aggregate sentiment for the crowd within the area.

16. The method of claim 2 , wherein the first one or more criterion includes the criterion that a group aggregate behavior parameter value associated to the disrupted group differs from a group aggregate behavior parameter value associated to the crowd within the area by more than a difference threshold value, and wherein the second one or more criterion includes the criterion that a candidate disruptor individual among the disrupted group has exhibited a thre

Assignees

• IBM

Inventors

• Rodriguez Bravo Cesar Augusto
• Boss Gregory J
• Pierson Bernadette
• Vaidyanathan Jayashree

Classifications

• H04L43/20

  the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV · CPC title

• H04L41/40

  using virtualisation of network functions or resources, e.g. SDN or NFV entities · CPC title

• H04L51/222

  using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area · CPC title

• H04L67/566

  Grouping or aggregating service requests, e.g. for unified processing · CPC title

• H04L51/52

  for supporting social networking services · CPC title