Generating Generalized Risk Cohorts

• US 20100153146A1
• Filed: 12/11/2008
• Published: 06/17/2010
• Est. Priority Date: 12/11/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kraemer, James R., Angell, Robert Lee, Friedlander, Robert R.
• Application Number:
  US12/333,256
• Publication Number:
  US 20100153146A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A computer implemented method, apparatus, and computer program product for generating general risk scores for general risk cohorts. Digital sensor data associated with a general risk cohort is received from a set of multimodal sensors. The digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort. Each member of the general risk cohort comprises data describing objects belonging to a category. A general risk score for the general risk cohort is generated based on selected risk factors and the attributes associated with the at least one member of the general risk cohort. In response to a determination that the general risk score exceeds a risk threshold, a response action is initiated.

Claims

1. A computer implemented method of generating general risk scores for general risk cohorts, the computer implemented method comprising:

receiving digital sensor data associated with a general risk cohort from a set of multimodal sensors, wherein the digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort, wherein each member of the general risk cohort comprises data describing objects belonging to a category;

generating a general risk score for the general risk cohort based on selected risk factors and the attributes associated with the at least one member of the general risk cohort; and

responsive to a determination that the general risk score exceeds a risk threshold, initiating a response action.

2. The computer implemented method of claim 1 further comprising:

responsive to a determination that the general risk score fails to exceed a risk threshold, monitoring digital sensor data associated with the general risk cohort that is received from the set of multimodal sensors.

3. The computer implemented method of claim 2 wherein the response action is a first response action and wherein monitoring the digital sensor data further comprises:

responsive to a determination that new digital sensor data associated with the general risk cohort is available, receiving the digital sensor data, wherein the new digital sensor data comprises updated metadata describing updated attributes associated with the at least one member of the general risk cohort;

generating an updated general risk score for the general risk cohort based on the selected risk factors and the updated attributes;

comparing the updated general risk score with the risk threshold;

responsive to a determination that the updated general risk score fails to exceed the risk threshold, ceasing the first response action; and

responsive to a determination that the updated general risk score exceeds the risk threshold, initiating a second response action, wherein the process iteratively generates updated general risk scores using updated sensor data to monitor risk scores and initiate response actions when any risk score exceeds the risk threshold.

4. The computer implemented method of claim 1 wherein the response action is a first response action and wherein monitoring the digital sensor data further comprises:

responsive to a determination that updated risk factors are selected, generating an updated general risk score for the general risk cohort based on the updated risk factors and the attributes associated with the at least one member of the general risk cohort;

responsive to a determination that the updated general risk score fails to exceed the risk threshold, ceasing the first response action; and

responsive to a determination that the updated general risk score exceeds the risk threshold, initiating a second response action, wherein the process iteratively generates updated general risk scores using updated sensor data to monitor risk scores and initiate response actions when any risk score exceeds the risk threshold

5. The computer implemented method of claim 1 wherein the risk threshold comprises an upper risk threshold and a lower risk threshold, and wherein general risk score exceeds the risk threshold if the risk score exceeds an upper risk threshold, and wherein the general risk score exceeds the risk threshold if the risk score is less than a lower risk threshold.

6. The computer implemented method of claim 1 wherein receiving digital sensor data associated with a general risk cohort from a set of multimodal sensors further comprises:

receiving digital cohort data for a set of multimodal cohorts, wherein the digital cohort data comprises metadata describing attributes of members of the set of multimodal cohorts; and

generating the general risk score for the general risk cohort based on the selected risk factors, the attributes associated with the set of multimodal cohorts, and the attributes associated with the at least one member of the general risk cohort.

7. The computer implemented method of claim 6 wherein the set of multimodal cohorts comprises at least one of a video cohort, an audio cohort, an olfactory cohort, a biometric cohort, a furtive glance cohort, and a sensor and actuator cohort.

8. The computer implemented method of claim 1 further comprising:

analyzing the digital sensor data using manual input and at least one of cohort criteria, cohort constraints, a set of data models, and risk patterns to generate the general risk cohort.

9. The computer implemented method of claim 1 further comprising:

analyzing the selected risk factors using at least one of manual input from a user and a lookup table of weight indicators to generate weighted risk factors; and

identifying a weighted risk score associated with the general risk cohort based on the weighted risk factors, wherein the response action is initiated if the weighted risk score exceeds the risk threshold.

10. The computer implemented method of claim 1 wherein the set of multimodal sensors comprises at least one of 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, and further comprising:

responsive to receiving sensor data from the set of multimodal sensors, processing the sensor data to the form digital sensor data, wherein a sensor data analysis engine converts any input received in an analog format into a digital format to form the digital sensor data.

11. A computer program product for generating risk scores for general risk cohorts, the computer program product comprising:

a 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 a general risk cohort from a set of multimodal sensors, wherein the digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort, wherein each member of the general risk cohort comprises data describing objects belonging to a category;

computer usable program code configured to generate a general risk score for the general risk cohort based on selected risk factors and the attributes associated with the at least one member of the general risk cohort; and

computer usable program code configured to initiate a response action, in response to a determination that the general risk score exceeds a risk threshold.

12. The computer program product of claim 11 further comprising:

computer usable program code configured to monitor digital sensor data associated with the general risk cohort that is received from the set of multimodal sensors in response to a determination that the general risk score fails to exceed a risk threshold.

13. The computer program product of claim 11 wherein the response action is a first response action and further comprising:

computer usable program code configured to receive the digital sensor data in response to a determination that new digital sensor data associated with the general risk cohort is available, wherein the new digital sensor data comprises updated metadata describing updated attributes associated with the at least one member of the general risk cohort;

computer usable program code configured to generate an updated general risk score for the general risk cohort based on the selected risk factors and the updated attributes;

computer usable program code configured to compare the updated general risk score with the risk threshold;

computer usable program code configured to cease the first response action in response to a determination that the updated general risk score fails to exceed the risk threshold; and

computer usable program code configured to initiate a second response action in response to a determination that the updated general risk score exceeds the risk threshold, wherein the process iteratively generates updated general risk scores using updated sensor data to monitor risk scores and initiate response actions when any risk score exceeds the risk threshold.

14. The computer program product of claim 11 wherein the response action is a first response action further comprising:

computer usable program code configured to generate an updated general risk score for the general risk cohort based on the updated risk factors and the attributes associated with the at least one member of the general risk cohort in response to a determination that updated risk factors are selected;

computer usable program code configured to cease the first response action in response to a determination that the updated general risk score fails to exceed the risk threshold; and

computer usable program code configured to initiate a second response action in response to a determination that the updated general risk score exceeds the risk threshold, wherein the process iteratively generates updated general risk scores using updated sensor data to monitor risk scores and initiate response actions when any risk score exceeds the risk threshold.

15. The computer program product of claim 11 wherein the risk threshold comprises an upper risk threshold and a lower risk threshold, and wherein general risk score exceeds the risk threshold if the risk score exceeds an upper risk threshold;

and wherein the general risk score exceeds the risk threshold if the risk score is less than a lower risk threshold.

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 a general risk cohort from a set of multimodal sensors, wherein the digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort, wherein each member of the general risk cohort comprises data describing objects belonging to a category, generates a general risk score for the general risk cohort based on selected risk factors and the attributes associated with the at least one member of the general risk cohort, and initiates a response action, in response to a determination that the general risk score exceeds a risk threshold.

17. The apparatus of claim 16 wherein the processing unit executes the computer usable program code to monitor digital sensor data associated with the general risk cohort that is received from the set of multimodal sensors in response to a determination that the general risk score fails to exceed a risk threshold.

18. The apparatus of claim 16 wherein the processing unit executes the computer usable program code to receive the digital sensor data in response to a determination that new digital sensor data associated with the general risk cohort is available, wherein the new digital sensor data comprises updated metadata describing updated attributes associated with the at least one member of the general risk cohort, generate an updated general risk score for the general risk cohort based on the selected risk factors and the updated attributes, compare the updated general risk score with the risk threshold, and cease the first response action in response to a determination that the updated general risk score fails to exceed the risk threshold, and initiate a second response action in response to a determination that the updated general risk score exceeds the risk threshold, wherein the process iteratively generates updated general risk scores using updated sensor data to monitor risk scores and initiate response actions when any risk score exceeds the risk threshold.

19. The apparatus of claim 16 wherein the risk threshold comprises an upper risk threshold and a lower risk threshold, wherein general risk score exceeds the risk threshold if the risk score exceeds an upper risk threshold, and wherein the general risk score exceeds the risk threshold if the risk score is less than a lower risk threshold.

20. A general risk cohort risk analysis system comprising:

a set of multimodal sensors, wherein the set of multimodal sensors generates sensor data associated with a general risk cohort;

a digital sensor data analysis engine, wherein the digital signal analysis engine processes the sensor data to form digital sensor data associated with a general risk cohort, wherein the digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort, wherein each member of the general risk cohort comprises data describing objects belonging to a category; and

an inference engine, wherein the inference engine comprises a risk assessment engine, wherein the risk assessment engine generate a general risk score for the general risk cohort based on selected risk factors and the attributes associated with the at least one member of the general risk cohort, and initiates a response action, in response to a determination that the general risk score exceeds a risk threshold.