A computer implemented method, system, and/or computer program product generates deportment and comportment cohorts. Digital sensor data, which is derived by analyzing multimodal sensor data, comprises event metadata which describes a set of events associated with an individual. Descriptive data about the individual is retrieved by data mining a combination of online sources and off-line sources. A set of conduct analysis models is selected based on event metadata and available description data. The event metadata and the description data are analyzed in the set of conduct analysis models to form a deportment and comportment cohort, where the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method of generating deportment and comportment cohorts, the computer implemented method comprising: analyzing, by one or more processors, multimodal sensor data to generate digital sensor data, wherein the digital sensor data is generated by executing an analytic process from a group consisting of an olfactory analytic process for analyzing olfactory sensory data received from chemical sensors, a video analytic process for analyzing images received from cameras, an audio analytic process for analyzing audio data received from audio sensors, a biometric data analytic process for analyzing biometric sensor data from biometric sensors, and a sensor and actuator signal analytic process for analyzing sensor input data from sensors and actuators; associating the digital sensor data 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, selecting a set of conduct analysis models based on the event metadata and the available description data, wherein the set of conduct analysis models processes 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 set of events further comprises social interactions between the individual and other observed persons. 5. 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. 6. 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 types of social interactions engaged in by the individual and a level of appropriateness of the social interactions. 7. The computer implemented method of claim 1, 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. 8. 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. 9. The computer implemented method of claim 1, wherein the current activity status information describes a current medical condition and scheduled events for the individual. 10. 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 analyze multimodal sensor data to generate digital sensor data, wherein the digital sensor data is generated by executing an analytic process from a group consisting of an olfactory analytic process for analyzing olfactory sensory data received from chemical sensors, a video analytic process for analyzing images received from cameras, an audio analytic process for analyzing audio data received from audio sensors, a biometric data analytic process for analyzing biometric sensor data from biometric sensors, and a sensor and actuator signal analytic process for analyzing sensor input data from sensors and actuators; computer usable program code configured to associate the digital sensor data 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 processes 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. 11. The computer program product of claim 10, 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. 12. The computer program product of claim 10, 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 10, 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 10, wherein the deportment and comportment 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 10, wherein the deportment and comportment cohort comprises a sociological sub-cohort, wherein the sociological sub-cohort comprises members having attributes indicating types 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: analyze multimodal sensor data to generate digital sensor data, wherein the digital sensor data is achieved by executing an analytic process from a group consisting of an olfactory analytic process for analyzing olfactory sensory data received from chemical sensors, a video analytic process for analyzing images received from cameras, an audio analytic process for analyzing audio data received from audio sensors, a biometric data analytic process for analyzing biometric sensor data from biometric sensors, and a sensor and actuator signal analytic process for analyzing sensor input data from sensors and actuators; associate the digital sensor data 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 processes 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 deportment and comportment 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 types of social interactions engaged in by the individual and a level of appropriateness of the social interactions. 20. The apparatus of claim 16, wherein the set of events further comprises social interactions between the individual and other observed persons.