Generating deportment and comportment cohorts

• US 8,493,216 B2
• Filed: 12/16/2008
• Issued: 07/23/2013
• Est. Priority Date: 12/16/2008
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Angell, Robert Lee, Friedlander, Robert R., Kraemer, James R.
• Primary Examiner(s): Bugg, George
• Assistant Examiner(s): SMALL, NAOMI J
• Application Number:
  US12/336,471
• Publication Number:
  US 20100148970A1
• Time in Patent Office: 1,680 Days
• Field of Search: 340/573.1, 382/115, 706/52, 706/54, 707/705, 707/736, 707/E17.001, 707/E17.143
• US Class Current: 340/573.1
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires

Abstract

A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events. The event metadata and the description data is analyzed in the set of conduct analysis models to form a deportment and comportment cohort. The deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.

Claims

1. A computer implemented method of generating deportment and comportment cohorts, the computer implemented method comprising:

receiving digital sensor data associated with an individual, wherein the digital sensor data comprises event metadata describing a set of events associated with the individual, wherein the set of events comprises at least one of body language, facial expressions, and vocalizations of the individual;

responsive to determining description data for the individual is available, retrieving the description data, wherein the description data comprises identification information, past activity history information, and current activity status information for the individual, and wherein the past activity history information describes a medical history of the individual;

selecting a set of conduct analysis models based on the event metadata and the available description data, wherein the set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events; and

analyzing the event metadata and the description data in the set of conduct analysis models to form a deportment and comportment cohort, wherein the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.

2. The computer implemented method of claim 1, wherein the digital sensor data comprises attribute metadata describing identification attributes of the individual, wherein the event metadata, attribute metadata, and the description data are analyzed in the set of conduct analysis models to form the deportment and comportment cohort, wherein an identification attribute is selected from a group consisting of a fingerprint, a thumbprint, a palm print, a voice pattern, a retinal scan result, an iris scan result, facial recognition, badge reader data, smart card data, a scent recognition, and license plate information.

3. The computer implemented method of claim 1, wherein the deportment and comportment cohort comprises a deportment sub-cohort, and wherein the deportment sub-cohort comprises attributes indicating at least one of a demeanor, conduct, manner, social deportment, propriety, impropriety, and flamboyant actions of the individual.

4. The computer implemented method of claim 1, wherein the digital sensor data is received from a set of multimodal sensors, wherein the set of multimodal sensors comprises a set of chemical sensors, a set of audio sensors, a set of cameras, a set of biometric sensors, and a set of sensors and actuators, wherein the biometric sensors detect a physiological condition of the individual, and wherein the computer implemented method further comprises:

responsive to receiving sensor data from the set of multimodal sensors in an analog format, processing the sensor data to convert the sensor data from the analog format into a digital format to form the digital sensor data.

5. The computer implemented method of claim 1, wherein the set of events further comprises social interactions between the individual and other observed persons.

6. The computer implemented method of claim 1, wherein the past activity history information further describes an education history and a work history of the individual.

7. The computer implemented method of claim 1, wherein the deportment and comportment cohort comprises a sociological sub-cohort, wherein the sociological sub-cohort comprises members having attributes indicating type of social interactions engaged in by the individual and a level of appropriateness of the social interactions.

9. The computer implemented method of claim 1, wherein the set of conduct analysis models comprise a set of psychological and sociological models, and wherein the computer implemented method further comprises:

responsive to receiving cohort data for a set of cohorts associated with the individual, selecting an updated set of psychological and sociological models to create an updated set of conduct analysis models; and

analyzing the cohort data with the event metadata in the updated set of conduct analysis models to generate an updated result.

10. The computer implemented method of claim 1, wherein the current activity status information describes a current medical condition and scheduled events for the individual.

8. The computer implemented method of claim further comprising:

responsive to a determination that new digital sensor data associated with the individual is available, receiving the new digital sensor data, wherein the new digital sensor data comprises updated event metadata describing a new set of events associated with the individual;

analyzing the updated event metadata with the description data in the set of conduct analysis models to generate an updated result.

11. A computer program product for generating deportment and comportment cohorts, the computer program product comprising:

a non-transitory computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising;

computer usable program code configured to receive digital sensor data associated with an individual, wherein the digital sensor data comprises event metadata describing a set of events associated with the individual, wherein the set of events comprises body language, facial expressions, vocalizations, and social interactions of the individual;

computer usable program code configured to retrieve description data in response to determining the description data for the individual is available, wherein the description data comprises identification information, past history information, and current status information for the individual;

computer usable program code configured to select a set of conduct analysis models based on the event metadata and the available description data, wherein the set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events; and

computer usable program code configured to analyze the event metadata and the description data in the set of conduct analysis models to form a deportment and comportment cohort, wherein the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.

12. The computer program product of claim 11, wherein the deportment and comportment cohort comprises a deportment sub-cohort, and wherein the deportment sub-cohort comprises attributes indicating at least one of a demeanor, conduct, manner, social deportment, propriety, impropriety, and flamboyant actions of the individual.

13. The computer program product of claim 11, wherein the deportment and comportment cohort comprises a deportment cohort, wherein the deportment cohort comprises attributes identifying an emotional state of the individual, wherein the emotional state comprises at least one of fear, joy, happiness, anger, jealousy, embarrassment, depression, and unemotional.

14. The computer program product of claim 11, wherein the comportment and deportment cohort comprises a comportment cohort, wherein the comportment cohort comprises attributes indicating an overall level of refinement in movements made by the individual.

15. The computer program product of claim 11, wherein the deportment and comportment cohort comprises a sociological sub-cohort, wherein the sociological sub-cohort comprises members having attributes indicating type of social interactions engaged in by the individual and a level of appropriateness of the social interactions.

16. An apparatus comprising:

a bus system;

a communications system coupled to the bus system;

a memory connected to the bus system, wherein the memory includes computer usable program code; and

a processing unit coupled to the bus system, wherein the processing unit executes the computer usable program code to receive digital sensor data associated with an individual, wherein the digital sensor data comprises event metadata describing a set of events associated with the individual, wherein the set of events comprises body language, facial expressions, vocalizations, and social interactions of the individual;

retrieve description data in response to determining the description data for the individual is available, wherein the description data comprises identification information, past history information, and current status information for the individual;

select a set of conduct analysis models based on the event metadata and the available description data, wherein the set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events; and

analyze the event metadata and the description data in the set of conduct analysis models to form a deportment and comportment cohort, wherein the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.

17. The apparatus of claim 16, wherein the deportment and comportment cohort comprises a deportment sub-cohort, and wherein the deportment sub-cohort comprises attributes indicating at least one of a demeanor, conduct, manner, social deportment, propriety, impropriety, and flamboyant actions of the individual.

18. The apparatus of claim 16, wherein the comportment and deportment cohort comprises a comportment cohort, wherein the comportment cohort comprises attributes indicating an overall level of refinement in movements made by the individual.

19. The apparatus of claim 16, wherein the deportment and comportment cohort comprises a sociological sub-cohort, wherein the sociological sub-cohort comprises members having attributes indicating type of social interactions engaged in by the individual and a level of appropriateness of the social interactions.

20. A conduct analysis system comprising:

a set of multimodal sensors, wherein the set of multimodal sensors generates multimodal sensor data associated with a set of individuals; and

an analysis server, wherein the analysis server receives digital sensor data associated with an individual, wherein the digital sensor data comprises event metadata describing a set of events associated with the individual, wherein the set of events comprises body language, facial expressions, vocalizations, and social interactions of the individual; and

retrieves description data in response to determining the description data for the individual is available, wherein the description data comprises identification information, past history information, and current status information for the individual; and

wherein the analysis server comprises;

a cohort generation engine, wherein the cohort generation engine selects a set of conduct analysis models based on the event metadata and the available description data, wherein the set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events; and

analyzes the event metadata and the description data in the set of conduct analysis models to form a deportment and comportment cohort, wherein the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.