Context aware mobile personalization system and methods of use

• US 10,659,594 B2
• Filed: 01/20/2016
• Issued: 05/19/2020
• Est. Priority Date: 02/12/2015
• Status: Active Grant

• Current Assignee: American University of Beirut Incorporated
• Original Assignee: American University of Beirut Incorporated
• Inventors: Hajj, Hazem, El Hajj, Wassim, Eid, Saeid, Kiwan, Sani, Majdalani, Joseph, Bensaleh, Mohammed Sulaiman, Obeid, Abdulfattah Mohammad, Qasim, Syed Manzoor
• Primary Examiner(s): Vu, Thanh T
• Application Number:
  US15/002,116
• Publication Number:
  US 20160239194A1
• Time in Patent Office: 1,581 Days
• Field of Search: None
• CPC Class Codes: H04M 1/724 User interfaces specially adapted for cordless or mobile telephones
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions

Abstract

A context aware mobile personalization system is disclosed for a software development environment with plug-in capabilities for providing personalized phone capabilities based on the automated detection of user context.

Claims

1. A method of optimizing functionality of a mobile device and providing a platform for expanding mobile device features through an automated process, comprising:

a) Collecting raw data from at least one sensor for a specific interval of time;

b) Extracting statistical features from the collected raw data and calculating the statistical features;

c) Communicating with a database accessible by the mobile device and retrieving stored preferences from the database, and automatically cycling between step a) and raw data collected from the stored preferences;

d) Feeding the calculated statistical features to a classifier module and utilizing the retrieved stored preferences with the classifier module;

e) Processing the calculated statistical features and the retrieved stored preferences to determine a relevant context at the time of analysis;

f) Classifying the relevant context at the time of analysis;

g) Relieving the user to manual control mobile device usage and the utilities of the mobile device; and

h) interacting with a service controller on the mobile device to automatically control the mobile device utilities dependent upon the relevant context and extending the battery life of the mobile device.

2. The method of claim 1, wherein the stored preferences is selected from the group consisting of scheduled events, calendar entries, manually inputted data, and modified data by the user.

3. The method of claim 2, further comprising adding additional features based on the relevant context in health care applications selected from the group consisting of fall detection, patients'"'"' observation and medical attention.

4. The method of claim 3, wherein the at least one sensor is selected from the group of GPS, accelerometer, and detection of available WiFi or cellular networks.

5. The method of claim 1, wherein the time intervals are set by the user via the user interface or recommended by the automated process.

6. The method of claim 5, wherein the stored preferences are selected from the group of preset configurations and user settings/preferences.

7. The method of claim 6, further comprising retrieving rules from a user interface and the database accessible by the mobile device.

8. The method of claim 7, further comprising personalizing phone battery usage based on the relevant context.

9. The method of claim 8, further comprising personalizing automatic control for Bluetooth while driving based on the relevant context.

10. The method of claim 6, wherein step g) further comprises turning mobile data on or off by the service controller dependent upon the relevant context;

turning Wi-Fi on or off by the service controller dependent upon the relevant context;

turning the ringer volume on or off by the service controller dependent upon the relevant context;

turning a ringer volume on or off by the service controller dependent upon the relevant context;

turning Bluetooth on or off by the service controller dependent upon the relevant context.

11. The method of claim 10, wherein step e) further comprises creating a log of collected raw data and analyzed data in the service controller selected from the group consisting of:

generate a log sheet of a user'"'"'s daily routine, and communicating with one or more additional applications accessible by the mobile device; and

storing the log of collected raw data on a computer-readable medium.

12. The method of claim 6, further comprising utilizing an initial learning period when the mobile device is first operated by the user;

monitoring the user'"'"'s actions/contexts for one or more weeks, and automatically optimizing the default contextual settings based upon this monitoring.

13. The method of claim 6, further comprising additional features based on the relevant context in social networking applications.

14. A method of optimizing functionality of a mobile device and providing a platform for expanding mobile device features through an automated process, comprising:

a) Collecting raw data from at least one sensor for a specific interval of time, wherein the time intervals are set by the user via a user interface or recommended by the automated process;

b) Extracting statistical features from the collected raw data and calculating the statistical features;

c) Communicating with a database accessible by the mobile device and retrieving stored preferences from the database, wherein the stored preferences is selected from the group consisting of scheduled events, calendar entries, manually inputted data, and modified data by the user, retrieving rules from a user interface and the database accessible by the mobile device, and automatically cycling between step a) and raw data collected from the stored preferences;

d) Feeding the calculated statistical features to a classifier module and utilizing the retrieved stored preferences with the classifier module;

e) Processing the calculated statistical features and the retrieved stored preferences to determine a relevant context at the time of analysis and creating a log of collected raw data and analyzed data in the service controller selected from the group consisting of;

generate a log sheet of a user'"'"'s daily routine, and communicating with one or more additional applications accessible by the mobile device; and

storing the log of collected raw data on a computer-readable medium;

f) Classifying the relevant context at the time of analysis;

g) Relieving the user to manual control mobile device usage and the utilities of the mobile device; and

h) interacting with a service controller on the mobile device to automatically control the mobile device utilities dependent upon the relevant context and extending the battery life of the mobile device, and personalizing phone battery usage based on the relevant context.

15. The method of claim 14, wherein the at least one sensor is selected from the group of GPS, accelerometer, and detection of available WiFi or cellular networks.

16. The method of claim 15, wherein the stored preferences are selected from the group of preset configurations and user settings/preferences.

17. The method of claim 16, wherein step h) further comprises turning mobile data on or off by the service controller dependent upon the relevant context;

turning Wi-Fi on or off by the service controller dependent upon the relevant context;

turning the ringer volume on or off by the service controller dependent upon the relevant context;

turning a ringer volume on or off by the service controller dependent upon the relevant context;

turning Bluetooth on or off by the service controller dependent upon the relevant context.

18. The method of claim 17, further comprising personalizing automatic control for Bluetooth while driving based on the relevant context.

19. The method of claim 18, further comprising utilizing an initial learning period when the mobile device is first operated by the user;

monitoring the user'"'"'s actions/contexts for one or more weeks, and automatically optimizing the default contextual settings based upon this monitoring.

20. The method of claim 19, further comprising adding additional features based on the relevant context in health care applications selected from the group consisting of fall detection, patients'"'"' observation and medical attention.

21. The method of claim 20, further comprising additional features based on the relevant context in social networking applications.