Activating applications based on accelerometer data

• US 8,464,036 B2
• Filed: 10/20/2011
• Issued: 06/11/2013
• Est. Priority Date: 11/09/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Rubin, Andrew E., Conway, David P.
• Primary Examiner(s): BUTLER, DENNIS
• Application Number:
  US13/277,622
• Publication Number:
  US 20120096249A1
• Time in Patent Office: 600 Days
• Field of Search: None
• US Class Current: 713/1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: G01C 21/12 executed aboard the object being navigated; Dead reckoning
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 15/177 Initialisation or configuration control processor initialisation G06F9/4405
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 1/72448 with means for adapting the functionality of the device according to specific conditions
• CPC Class Codes: H04M 1/72451 according to schedules, e.g. using calendar applications
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 2250/10 including a GPS signal receiver
• 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
• CPC Class Codes: H04W 4/00 Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

In some implementations, a computer-implemented method includes storing a plurality of acceleration profiles in a mobile device; receiving accelerometer data from an accelerometer in the mobile device; correlating the accelerometer data with one accelerometer profile in the plurality of accelerometer profiles; and activating a user application of the mobile device that is associated with the correlated accelerometer profile. Each acceleration profile can correspond to a sequence of acceleration forces a mobile device would be subjected to when carried with a user during an activity that corresponds to the correlated acceleration profile.

Claims

1. A computer-implemented method comprising:

storing a plurality of acceleration profiles, each acceleration profile corresponding to a sequence of acceleration forces a mobile device would be subjected to when carried with a user during one of a plurality of activities corresponding to the plurality of acceleration profiles, each acceleration profile being further associated with a geographical location when user input was received to launch one of a plurality of user applications that are associated with the plurality of acceleration profiles, wherein a particular acceleration profile of the acceleration profiles is generated based on analysis of a plurality of devices that are distinct from the mobile device;

after the acceleration profiles have been stored, receiving accelerometer data from an accelerometer in the mobile device and determining a geographical location of the mobile device;

correlating the accelerometer data and the determined geographical location with the sequence of acceleration forces and the geographical location for one acceleration profile in the plurality of acceleration profiles; and

activating the user application of the mobile device that is associated with the correlated one acceleration profile.

2. The computer-implemented method of claim 1, wherein the particular acceleration profile is pre-stored in the mobile device before the mobile device is delivered to the user.

3. The computer-implemented method of claim 1, wherein the particular acceleration profile is wirelessly downloaded from a content provider to the mobile device.

4. The computer-implemented method of claim 1, wherein at least one sequence of acceleration forces is stored by the mobile device during a training mode in which actual acceleration forces to which the mobile device is subjected are sampled in real-time and stored in the mobile device.

5. The computer-implemented method of claim 1, wherein correlating comprises sampling the received accelerometer data and comparing the sampled accelerometer data to one or more of the plurality of acceleration profiles using a comparison algorithm to determine if the sampled accelerometer data matches an acceleration profile in the one or more of the plurality of acceleration profiles.

6. The method of claim 1, wherein correlating the accelerometer data comprises processing the accelerometer data to remove effects of positional orientation of the mobile device.

7. The computer-implemented method of claim 6, wherein processing the accelerometer data comprises translating multi-axis accelerometer data to a different coordinate system than a coordinate system in which the multi-axis data was captured.

8. The computer-implemented method of claim 1, wherein the analysis of the plurality of devices includes an analysis of acceleration forces to which the plurality of devices were subjected.

9. the computer-implemented method of claim 8, wherein the plurality of devices were subjected to the acceleration forces when user input was received to launch the one user application that is associated with the particular acceleration profile.

10. The computer-implemented method of claim 8, wherein the correlated one acceleration profile is the particular acceleration profile.

11. A method of automatically activating an application in a mobile device that runs a plurality of applications, the method comprising:

in a training mode;

receiving training acceleration data for a mobile computing device,

wherein receiving training acceleration data comprises receiving data from an accelerometer in the mobile computing device,

wherein the training acceleration data comprises acceleration data for the mobile computing device in at least two axes,

wherein receiving training acceleration data comprises periodically receiving the training acceleration data for the mobile computing device at a rate of at least 25 Hz,

receiving user input to launch an application in the plurality of applications,

generating one or more training signatures based on the received acceleration data and the user input, and

receiving additional acceleration data for the mobile computing device and additional user input to launch the application, and

adaptively refining the one or more training signatures, wherein the one or more training signatures is further generated based on a location of the mobile computing device when the user input is received;

receiving accelerometer data from the accelerometer in the mobile computing device;

generating a signature based on the received accelerometer data;

correlating the generated signature to an acceleration profile that is stored in the mobile computing device; and

activating an application in the mobile computing device that is associated with the acceleration profile to which the generated signature is correlated.

12. The method of claim 11, wherein correlating comprises comparing the generated signature to the one or more training signatures that are stored in the mobile computing device and determining that the generated signature and at least one of the one or more training signatures match within a threshold measure of similarity.

13. The method of claim 11, further comprising storing the received training acceleration data in a first-in, first-out circular buffer such that a predetermined amount of recently received training acceleration data is stored at a given time.

14. The method of claim 11, wherein the one or more training signatures is further generated based on a time at which the user input is received.

15. The method of claim 14, wherein the one or more training signatures is further generated based on a day of the week on which the user input is received.

16. The method of claim 11, further comprising generating a first training signature based on the training acceleration data and the user input to launch the application being received at a first time, and generating a second, distinct training signature based on second training acceleration data and second user input to launch the application being received at a second time that is different than the first time by at least a predetermined threshold.

17. The method of claim 11, wherein generating the one or more training signatures comprises generating the one or more training signatures based on the training acceleration data being received for a predetermined period of time prior to receiving the user input to launch the application.

18. The method of claim 17, wherein generating the one or more training signatures further comprises generating the one or more training signatures based on second training acceleration data that is received for a second predetermined period of time following receiving the user input to launch the application.

19. The method of claim 11, further comprising:

determining a location of the mobile computing device, the location being associated with the received accelerometer data; and

correlating the determined location to the acceleration profile that is stored in the mobile computing device.

20. The computer-implemented method of claim 11, wherein the acceleration profile to which the generated signature is correlated includes the one or more training signatures.

21. A computer-implemented method comprising:

storing a plurality of acceleration profiles, each acceleration profile corresponding to a sequence of acceleration forces a mobile device would be subjected to when carried with a user during one of a plurality of activities corresponding to the plurality of acceleration profiles, each acceleration profile being further associated with a geographical location when user input was received to launch one of a plurality of user applications that are associated with the plurality of acceleration profiles, wherein storing the plurality of acceleration profiles comprises storing the plurality of acceleration profiles at a network-accessible location external to the mobile device;

after the acceleration profiles have been stored, receiving accelerometer data from an accelerometer in the mobile device and determining a geographical location of the mobile device;

correlating the accelerometer data and the determined geographical location with the sequence of acceleration forces and the geographical location for one acceleration profile in the plurality of acceleration profiles, wherein correlating the accelerometer data comprises accessing the network-accessible location after receiving the accelerometer data and

activating the user application of the mobile device that is associated with the correlated one acceleration profile.

22. The computer-implemented method of claim 21, wherein accessing the network-accessible location after receiving the accelerometer data includes accessing the correlated one acceleration profile from the network-accessible location after receiving the accelerometer data.

23. A method of automatically activating an application in a mobile device that runs a plurality of applications, the method comprising:

receiving training acceleration data for a mobile device;

receiving user input to launch an application in the plurality of applications;

generating a training signature based on (a) the received training acceleration data, (b) the user input, and (c) a location of the mobile device when the user input is received;

receiving accelerometer data from an accelerometer in the mobile device;

generating a signature based on the received accelerometer data;

correlating the generated signature to the training signature, wherein correlating comprises comparing the generated signature to the training signature which is stored in a network-accessible device that is external to the mobile device; and

activating the application in the mobile device that is associated with the training signature to which the generated signature is correlated.

24. The method of claim 23, further comprising receiving confirmation input from a user of the mobile device prior to activating the application.

25. The method of claim 23, further comprising determining a location of the mobile device, the location being associated with the received accelerometer data;

and

wherein the generated signature is further generated based on the determined location.

26. The method of claim 23, further comprising processing the training acceleration data by translating multi-axis accelerometer data to a different coordinate system than a coordinate system in which the multi-axis data was captured.

27. A system comprising:

a programmable processor; and

a computer-readable storage medium coupled to the processor and having instructions stored therein, which when executed by the processor causes the processor to perform a method that includes;

storing a plurality of acceleration profiles, each acceleration profile corresponding to a sequence of acceleration forces a mobile device would be subjected to when carried with a user during one of a plurality of activities corresponding to the plurality of acceleration profiles, each acceleration profile being further associated with a geographical location when user input was received to launch one of a plurality of user applications that are associated with the plurality of acceleration profiles, wherein a particular acceleration profile of the acceleration profiles has been generated based on analysis of a plurality of devices that are distinct from the mobile device;

after the acceleration profiles have been stored, receiving accelerometer data from an accelerometer in the mobile device and determining a geographical location of the mobile device;

correlating the accelerometer data and the determined geographical location with the sequence of acceleration forces and the geographical location for one acceleration profile in the plurality of acceleration profiles; and

activating the user application of the mobile device that is associated with the correlated one acceleration profile.

28. The system of claim 27, wherein the analysis of the plurality of devices includes an analysis of acceleration forces to which the plurality of devices were subjected.

29. The system of claim 28, wherein the plurality of devices were subjected to the acceleration forces when user input was received to launch the one user application that is associated with the particular acceleration profile.

30. The system of claim 27, wherein the correlated one acceleration profile is the particular acceleration profile.

31. A system comprising:

a programmable processor; and

a computer-readable storage medium coupled to the processor and having instructions stored therein, which when executed by the processor causes the processor to perform a method that includes;

receiving training acceleration data for a mobile device;

receiving user input to launch an application in a plurality of applications;

generating a training signature based on (a) the received training acceleration data, (b) the user input, and (c) a location of the mobile device when the user input is received;

receiving accelerometer data from an accelerometer in the mobile device;

generating a signature based on the received accelerometer data;

correlating the generated signature to the training signature, wherein correlating comprises comparing the generated signature to the training signature, the training signature being stored in a network-accessible device that is external to the mobile device; and

activating the application in the mobile device that is associated with the training signature to which the generated signature is correlated.

32. The system of claim 31, wherein the training signature is stored in the network-accessible device while the generated signature is compared to the training signature.

33. A computer-implemented method comprising:

storing a plurality of acceleration profiles, each acceleration profile corresponding to a sequence of acceleration forces a mobile device would be subjected to when carried with a user during one of a plurality of activities corresponding to the plurality of acceleration profiles, each acceleration profile being further associated with a geographical location when user input was received to launch one of a plurality of user applications that are associated with the plurality of acceleration profiles, at least one of the plurality of acceleration profiles having been generated by periodically receiving training acceleration data from an accelerometer in the mobile device at a rate of at least 25 Hz, the training acceleration data comprising acceleration data for the mobile device in at least two axes;

after the acceleration profiles have been stored, receiving accelerometer data from the accelerometer in the mobile device and determining a geographical location of the mobile device;

correlating the accelerometer data and the determined geographical location with the sequence of acceleration forces and the geographical location for one acceleration profile in the plurality of acceleration profiles; and

activating the user application of the mobile device that is associated with the correlated one acceleration profile.

34. The method of claim 33, wherein the correlated one acceleration profile is one of the at least one of the plurality of acceleration profiles.

35. A method of automatically activating an application in a mobile device that runs a plurality of applications, the method comprising:

receiving training acceleration data for a mobile device, wherein the training acceleration data has been generated based on analysis of a plurality of devices that are distinct from the mobile device;

receiving user input to launch an application in the plurality of applications;

generating a training signature based on (a) the received training acceleration data, (b) the user input, and (c) a location of the mobile device when the user input is received;

receiving accelerometer data from an accelerometer in the mobile device;

generating a signature based on the received accelerometer data;

correlating the generated signature to the training signature; and

activating the application in the mobile device that is associated with the training signature to which the generated signature is correlated.

36. The method of claim 35, wherein the analysis of the plurality of devices includes an analysis of acceleration forces to which the plurality of devices were subjected.

37. The method of claim 36, wherein the plurality of devices were subjected to the acceleration forces when user input was received to launch the application.

38. A method of automatically activating an application in a mobile device that runs a plurality of applications, the method comprising:

receiving training acceleration data for a mobile device,

wherein receiving training acceleration data comprises receiving data from an accelerometer in the mobile device,

wherein the training acceleration data comprises acceleration data for the mobile device in at least two axes,

wherein receiving training acceleration data comprises periodically receiving the training acceleration data for the mobile device at a rate of at least 25 Hz;

receiving user input to launch an application in the plurality of applications;

generating a training signature based on (a) the received training acceleration data, (b) the user input, and (c) a location of the mobile device when the user input is received;

receiving accelerometer data from an accelerometer in the mobile device;

generating a signature based on the received accelerometer data;

correlating the generated signature to the training signature; and

activating the application in the mobile device that is associated with the training signature to which the generated signature is correlated.