PROFILE CONFIGURATION FOR A MOBILE COMPUTING DEVICE

• US 20110161262A1
• Filed: 03/07/2011
• Published: 06/30/2011
• Est. Priority Date: 10/08/2007
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Jager, Ivo Ruben Willem
• Granted Patent: US 8,244,653 B2
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 2250/02 including a Bluetooth interface
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10

Abstract

Data processing apparatus is disclosed comprising: a sensor module configured to sense a first profile comprised of one or more attributes of an environment of said data processing apparatus; and a classification module configured to assign a prediction factor to each of said one or more attributes of said first profile and to store each said attribute and assigned prediction factor as a stored profile.

Claims

1. A mobile computing device having a phone application, comprising:

a sensor module configured to sense a first profile comprised of one or more attributes of an environment of the mobile computing device;

a classification module configured to;

assign a prediction factor to each of said one or more attributes of the first profile,

store each attribute and assigned prediction factor as a stored profile; and

an action module configured to evaluate the stored profile to determine whether to initiate an associated task or state associated with the stored profile for the mobile computing device.

2. The data processing apparatus of claim 1, said classification module configured to automatically determine a value for a correlation between said first profile and one or more stored profiles and store said first profile and associated prediction factors as said stored profile for each said correlation value being less than a threshold level.

3. The data processing apparatus of claim 2, wherein said classification module is configured to determine each said correlation value based on a difference between the presence of one or more attributes in said first profile and the presence of one or more attributes in each of said one or more stored profiles.

4. The data processing apparatus of claim 3, wherein said classification module is configured to determine each said correlation value based on adding and subtracting prediction factors and to add a prediction factor if associated with an attribute of said stored profile for which a corresponding attribute is present in said first profile and subtract a prediction factor if associated with an attribute of said stored profile for which a corresponding attribute is not present in said first profile.

5. The data processing apparatus of claim 2, further comprising a learning module, said classification module configured to determine a best match stored profile, said best match stored profile having the highest correlation value with said first profile, said learning module configured to update said best match stored profile determined by said classification module for said highest correlation value being equal to or exceeding said threshold value and less than the maximum correlation value.

6. The data processing apparatus of claim 5, said learning module configured to update said best match stored profile by adding thereto an attribute of said first profile not present in said best match stored profile.

7. The data processing apparatus of claim 5, said learning module configured to modify the prediction factor of each attribute present in said updated best match stored profile.

8. The data processing apparatus of claim 7, said learning module configured to add said learning factor to each prediction factor of each attribute present in both said best match stored profile and said first profile.

9. The data processing apparatus of claim 8, said learning module configured to normalize prediction factors of said stored best match profile.

10. The data processing apparatus of claim 1, wherein said classification module is configured to normalize each said assigned prediction factor to the number of attributes in said first profile.

11. The data processing apparatus of claim 10, wherein each said assigned prediction factor is a number N divided by the number of attributes in said first profile.

12. A computer readable storage medium storing instructions thereon, the instructions when executed by at least one processor cause the processor to:

sense a first profile comprised of one or more attributes of an environment of a mobile computing device;

assign a prediction factor to each of said one or more attributes of said first profile;

store each said attribute and assigned prediction factor responsive to a new profile capture signal;

determine automatically a value for the correlation between said first profile and one or more stored profiles and generating said new profile capture signal for each said correlation value being less than a threshold level; and

evaluate the stored profile to determine whether to initiate an associated task or state associated with the stored profile for the mobile computing device.

13. The computer readable storage medium of claim 12, wherein the instructions further comprise instructions that cause the processor to:

determine each said correlation value based on a difference between the presence of one or more attributes in said first profile and the presence of one or more attributes in each of said one or more stored profiles; and

determine each said correlation value based on adding and subtracting prediction factors and adding a prediction factor if associated with an attribute of said stored profile for which a corresponding attribute is present in said first profile and subtracting a prediction factor if associated with an attribute of said stored profile for which a corresponding attribute is not present in said first profile.