Method for detecting context of a mobile device and a mobile device with a context detection module

• US 9,807,564 B2
• Filed: 12/13/2016
• Issued: 10/31/2017
• Est. Priority Date: 02/17/2012
• Status: Active Grant

• Current Assignee: Context Directions LLC (Jeffrey M. Gross)
• Original Assignee: BinarTech Sp. z o.o
• Inventors: Aksamit, Pawel
• Primary Examiner(s): TRAN, MONG-THUY THI
• Application Number:
  US15/377,414
• Publication Number:
  US 20170094473A1
• Time in Patent Office: 322 Days
• Field of Search: 4554561
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• 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 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 52/0254 detecting a user operation or a tactile contact or a motion of the device
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A method for detecting a context of a mobile device (100) equipped with sensors (111, 121, 122, 131) and a context detection module (109) in which the sensors (111, 121, 122, 131) are assigned to at least two groups (110, 120, 30), each of which comprises at least one sensor (111, 121, 122, 131), and each group (110, 120, 130) is allocated a group classifier (116, 126, 136) 10 adapted to detect, in a form of a classification result, currently identified, by means of a given classifier, context of the device (100) based on indications of the sensors (111, 121, 122, 131) belonging to the given group, characterized in that with a use of the context detection module, whereas the groups (110, 102, 130) of sensors are ordered hierarchically, and the device context is detected 1 by reading a classification result indicated by the classifier (116, 126, 136) of the currently active group, wherein in case of detection of an identified context in the active group, switching on power supply of the sensors and activating classification in a group (110, 120, 130) with a level higher by one level and reading the context indicated by said group'"'"'s classifier, wherein based on the 20 results of the classification indicated by the higher groups'"'"' classifiers (116, 26, 136), executing adaptation of the configuration of lower groups'"'"' classifiers (116, 126, 136).

Claims

1. A mobile device, comprising:

a plurality of sensors and a plurality of sensor groups, wherein each of the sensor groups is assigned at least one of the sensors, and wherein the sensor groups are arranged according to a hierarchy;

a plurality of classifiers, wherein each classifier is assigned to a sensor group, and wherein each classifier is configured to evaluate one or more contexts of the mobile device based on signals from one or more sensors assigned to the same sensor group as the classifier; and

a context detection module configured to;

activate a classification by a classifier assigned to a first sensor group to evaluate a first context of the mobile device, wherein the first sensor group is at a lowest level in the hierarchy;

activate a classification by a classifier assigned to a second sensor group to evaluate the first context of the mobile device after a result of the classification by the classifier assigned to the first sensor group; and

adapt a configuration of the classifier assigned to the first sensor group based, at least in part, on a result of the classification by the classifier assigned to the second sensor group.

2. The mobile device of claim 1, wherein at least one of the sensor groups is assigned two or more of the classifiers.

3. The mobile device of claim 2, wherein the two or more classifiers assigned to the same sensor group are configured to evaluate different contexts of the mobile device.

4. The mobile device of claim 1, wherein at least one of the classifiers is configured to evaluate a plurality of contexts of the mobile device.

5. The mobile device of claim 1, wherein one or more of the classifiers provide a numerical result that directly or indirectly indicates a probability of an identified context of the mobile device.

6. The mobile device of claim 5, wherein a result of a classification by the one or more classifiers that provide a numerical result is determined by comparing the numerical result to a threshold value.

7. The mobile device of claim 1, wherein classification by the classifier assigned to the first sensor group to evaluate the first context of the mobile device is performed continuously.

8. The mobile device of claim 1, wherein classification by the classifier assigned to the first sensor group to evaluate the first context of the mobile device is performed periodically.

9. The mobile device of claim 8, wherein the periodic classification comprises a variable period.

10. The mobile device of claim 9, wherein the variable period is dependent upon a location of the mobile device.

11. The mobile device of claim 1, wherein the context detection module is configured to change a mode of operation of one or more sensors assigned to the second sensor group from a first power state to a second power state when the classification by the classifier assigned to the second sensor group is activated.

12. The mobile device of claim 1, wherein the context detection module is configured to activate the classification by the classifier assigned to the second sensor group when the result of the classification by the classifier assigned to the first sensor group is positive.

13. The mobile device of claim 1, wherein the context detection module is configured to activate the classification by the classifier assigned to the second sensor group when the result of the classification by the classifier assigned to the first sensor group is negative.

14. The mobile device of claim 1, wherein classification comprises:

reading signals from the one or more sensors assigned to the same sensor group as the classifier;

determining characterizing features of the signals; and

determining the result of the classification by the classifier.

15. The mobile device of claim 1, wherein the context detection module is configured to activate the classification by the classifier assigned to the second sensor group when a confidence level of the result of the classification by the classifier assigned to the first sensor group is below a threshold.

16. A mobile device, comprising:

a plurality of sensors and a plurality of sensor groups, wherein each of the sensor groups is assigned at least one of the sensors, and wherein the sensor groups are arranged according to a hierarchy;

a plurality of classifiers, wherein each classifier is assigned to a sensor group, and wherein each classifier is configured to evaluate one or more contexts of the mobile device based on signals from one or more sensors assigned to the same sensor group as the classifier; and

a context detection module configured to;

evaluate a first context of the mobile device by activating classification using at least two of the classifiers in sequence according to the hierarchy; and

adapt a configuration of a classifier assigned to a lower level sensor group in the hierarchy based, at least in part, on a result of a classification by a classifier assigned to a higher level sensor group in the hierarchy.

17. The mobile device of claim 16, wherein activating classification using at least two of the classifiers in sequence comprises activating a classification by the classifier assigned to the higher level sensor group after a positive classification by the classifier assigned to the lower level sensor group.

18. The mobile device of claim 16, wherein activating classification using at least two of the classifiers in sequence comprises activating a classification by the classifier assigned to the higher level sensor group after a negative classification by the classifier assigned to the lower level sensor group.

19. The mobile device of claim 16, wherein activating classification using at least two of the classifiers in sequence comprises activating a classification by the classifier assigned to the higher level sensor group when a confidence level of a classification by the classifier assigned to the lower level sensor group is below a threshold.

20. The mobile device of claim 16, wherein the context detection module is further configured to evaluate a second context of the mobile device by activating classification using at least two of the classifiers in sequence according to the hierarchy.

21. The mobile device of claim 20, wherein the context detection module is configured to activate classification by a classifier assigned to the higher level sensor group upon a positive classification by a classifier assigned to the lower level sensor group for either the first context or the second context.

22. The mobile device of claim 20, wherein the context detection module is configured to activate classification by a classifier assigned to the higher level sensor group upon a negative classification by a classifier assigned to the lower level sensor group for either the first context or the second context.

23. A method for detecting a context of a mobile device equipped with a plurality of sensors, comprising:

assigning the plurality of sensors to a plurality of sensor groups, wherein each sensor group is assigned at least one sensor;

arranging the sensor groups according to a hierarchy;

activating a classification by a classifier assigned to a second sensor group after a result of a classification by a classifier assigned to a first sensor group, wherein the second sensor group is at a higher level in the hierarchy than the first sensor group; and

adapting a configuration of the classifier assigned to the first sensor group based, at least in part, on a result of the classification by the classifier assigned to the second sensor group.

24. A non-transitory computer-readable medium having instructions stored thereon for causing a system to detect a context of a mobile device equipped with a plurality of sensors by:

assigning the plurality of sensors to a plurality of sensor groups, wherein each sensor group is assigned at least one sensor;

arranging the sensor groups according to a hierarchy;

activating a classification by a classifier assigned to a second sensor group after a result of a classification by a classifier assigned to a first sensor group, wherein the second sensor group is at a higher level in the hierarchy than the first sensor group; and

adapting a configuration of the classifier assigned to the first sensor group based, at least in part, on a result of the classification by the classifier assigned to the second sensor group.