Identifying and Generating Sensor and Actuator Cohorts

• US 20100153458A1
• Filed: 12/12/2008
• Published: 06/17/2010
• Est. Priority Date: 12/12/2008
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: International Business Machines Corporation
• Inventors: Kraemer, James R., Angell, Robert Lee, Friedlander, Robert R.
• Application Number:
  US12/333,311
• Publication Number:
  US 20100153458A1
• Time in Patent Office: Days
• US Class Current: 707/793
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/0833 Tracking

Abstract

A computer implemented method, apparatus, and computer program product for generating a cohort using sensor and actuator input data. A signal is received from a set of sensors and actuators associated with a set of objects. In response to a determination that the signal is in an analog format, the signal is converted from the analog format into a digital format to form digital signal data. The digital signal data is processed to identify sensor and actuator attributes associated with the set of objects. The digital signal data comprises metadata describing the identified sensor and actuator attributes. A set of cohorts is generated using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.

Claims

1. A computer implemented method of generating cohorts using sensor and actuator input data, the computer implemented method comprising:

receiving a signal from a set of sensors and actuators associated with a set of objects;

responsive to a determination that the signal is in an analog format, converting the signal from the analog format into a digital format to form digital signal data;

processing the digital signal data to identify sensor and actuator attributes associated with the set of objects, wherein the digital signal data comprises metadata describing the identified sensor and actuator attributes; and

generating a set of cohorts using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.

2. The computer implemented method of claim 1, wherein generating the set of cohorts using the sensor and actuator attributes further comprises:

processing the digital signal data using a set of data models.

3. The computer implemented method of claim 1, Wherein generating the set of cohorts using the sensor and actuator attributes further comprises:

processing the digital signal data using at least one of a set of cohort criteria and a set of cohort constraints.

4. The computer implemented method of claim 1, Wherein generating the set of cohorts using the sensor and actuator attributes further comprises:

processing the digital signal data using a set of known sensor and actuator signal patterns.

5. The computer implemented method of claim 1, wherein the sensor and actuator attributes comprise a status of an object, wherein the status comprises at least one of a previous condition and a current condition.

6. The computer implemented method of claim 1, wherein the sensor and actuator attributes comprise an identification of an object.

7. The computer implemented method of claim 1, wherein the sensor and actuator attributes comprise at least one of a time of detection of the signal and a location of a sensor or an actuator in the set of sensors and actuators.

8. The computer implemented method of claim 1, wherein the sensor and actuator attributes comprise at least one of an actual location of an object, an expected location of the object, and a proximity to another object.

9. The computer implemented method of claim 1, wherein the set of sensors and actuators comprises at least one of a radio frequency identification reader, a global positioning system receiver, an identification code reader, a wireless device, and a proximity card.

10. A computer program product for generating cohorts using sensor and actuator input data, 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 a signal from a set of sensors and actuators associated with a set of objects;

computer usable program code configured to convert the signal from an analog format into a digital format to form digital signal data in response to a determination that the signal is in the analog format;

computer usable program code configured to process the digital signal data to identify sensor and actuator attributes associated with the set of objects, wherein the digital signal data comprises metadata describing the identified sensor and actuator attributes; and

computer usable program code configured to generate a set of cohorts using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.

11. The computer program product of claim 10, wherein the sensor and actuator attributes comprise a status of an object, wherein the status comprises at least one of a previous condition and a current condition.

12. The computer program product of claim 10, wherein the sensor and actuator attributes comprise an identification of an object.

13. The computer program product of claim 10, wherein the sensor and actuator attributes comprise at least one of a time of detection of the signal and a location of a sensor or an actuator in the set of sensors and actuators.

14. The computer program product of claim 10, wherein the sensor and actuator attributes comprise at least one of an actual location of an object, an expected location of the object, and a proximity to another object.

15. The computer program product of claim 10, wherein the set of sensors and actuators comprises at least one of a radio frequency identification reader, a global positioning system receiver, an identification code reader, a wireless device, and a proximity card.

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 a signal from a set of sensors and actuators associated with a set of objects;

convert the signal from an analog format into a digital format to form digital signal data in response to a determination that the signal is in the analog format;

process the digital signal data to identify sensor and actuator attributes associated with the set of objects, wherein the digital signal data comprises metadata describing the identified sensor and actuator attributes; and

generate a set of cohorts using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.

17. The apparatus of claim 16 wherein the sensor and actuator attributes comprise at least one of an actual location of an object, an expected location of the object, and a proximity to another object.

18. The apparatus of claim 16, wherein the set of sensors and actuators comprises at least one of a radio frequency identification reader, a global positioning system receiver, an identification code reader, a wireless device, and a proximity card.

19. A sensor and actuator cohort generation system comprising:

a set of signal sensors, wherein the set of signal sensors comprises a microphone; and

a data processing system, wherein the data processing system comprises;

a signal analysis engine, wherein a sensor and actuator analysis engine receives a signal from a set of sensors and actuators associated with a set of objects;

converts the signal from an analog format into a digital format to form digital signal data in response to a determination that the signal is in the analog format; and

processes the digital signal data to identify sensor and actuator attributes associated with the set of objects, wherein the digital signal data comprises metadata describing the identified sensor and actuator attributes; and

a cohort generation engine, wherein the cohort generation engine generates a set of cohorts using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.

20. The sensor and actuator cohort generation system of claim 19 wherein the set of sensors and actuators further comprises a radio frequency identification tag reader.