Performing an action associated with a motion based input

1. A method implemented by a computing device comprising a processor, and a memory, motion detection sensor and proximity sensor coupled to the processor, the method comprising:

measuring, using the motion detection sensor, motion data representing a detected motion of the computing device at regular intervals;

measuring, using the proximity sensor, proximity data representing a proximity of the computing device to an object at regular intervals over a duration of the detected motion;

matching the motion data and proximity data with an input model associated with a gesture using a plurality of criteria defined by the input model, the plurality of criteria comprising a pattern of proximity data representing changes in the proximity of the computing device to the object during the detected motion and a pattern of motion data representing the detected motion;

determining a confidence level associated with the match based on how closely the motion data and proximity data match the plurality of criteria in the input model;

in response to determining the confidence level is above a threshold, performing an action associated with the gesture; and

in response to determining the confidence level is below the threshold,

prompting for designated confirmatory input, wherein the designated confirmatory input is different from the gesture, and

performing the action associated with the gesture in response to receiving designated confirmatory input indicating a positive confirmation to perform the action.

2. The method of claim 1 , further comprising:

determining the action associated with the gesture based on a state of an application when the motion data was measured.

3. The method of claim 1 , further comprising:

storing the motion data in association with the proximity data in the memory as an additional input model in response to receiving the designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action.

4. The method of claim 1 , further comprising:

adjusting the input model in response to receiving the designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action.

5. The method of claim 1 , further comprising:

prior to measuring the motion data and proximity data, receiving a selection indicating selection of a contact entry, the contact entry having a plurality of phone numbers stored in memory; and

wherein performing the action comprises:

prompting a user to select a phone number of the plurality of phone numbers for dialing;

receiving a voice input selecting the phone number; and

dialing the phone number.

6. The method of claim 1 , wherein the prompting comprises announcing, via a speaker of the computing device, a voice prompt,

wherein designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action comprising a voice input is received via a microphone of the computing device.

7. The method of claim 1 , wherein prompting comprises displaying a message on a display of the computing device, and wherein designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action is received via an input device of the computing device.

8. The method of claim 1 , further comprising:

selecting an input model, from a plurality of input models, based on a state of an application when the motion data was measured.

9. The method of claim 1 , wherein the pattern of motion data is defined by a displacement of the measured motion correlated to a distance the computing device is moved when the gesture input is performed, a speed of the measured motion correlating a speed at which the computing device is moved when the gesture input is performed, a direction of the displaced distance, and a frequency response of the measured motion.

10. The method of claim 1 , wherein each criterion in the plurality of criteria of the input model is compared individually against the motion data or proximity data.

11. The method of claim 10 , wherein a weighing function is applied to each criterion in the plurality of criteria of the input model based on the significance of the criterion.

12. The method of claim 1 , wherein the pattern of proximity defines at least one of decreasing proximity to the object over the duration of the respective gesture and increasing proximity to the object over the duration of the respective gesture.

13. The method of claim 1 , wherein the measured motion data and measured proximity data are matched to an input model for a gesture comprising moving the computing device towards a user's ear when matching criteria in the plurality of criteria includes the measured proximity data matching a pattern of proximity defining decreasing proximity to the object over the duration of the respective gesture.

14. The method of claim 1 , further comprising:

increasing a sampling rate of the proximity sensor in response to the detected motion;

wherein the pattern of proximity defines at least one of decreasing proximity to the object over the duration of the respective gesture and increasing proximity to the object over the duration of the respective gesture.

15. A computing device comprising:

a memory for storing instructions and for storing an input model associated with a gesture;

a motion detection sensor;

a proximity sensor;

a processor coupled to the memory, the proximity sensor and the motion detection sensor, wherein the processor is configured to:

measure, using the motion detection sensor, motion data representing a detected motion of the computing device at regular intervals;

measure, using the proximity sensor, proximity data representing a proximity of the computing device to an object at regular intervals over a duration of the detected motion;

match the motion data and proximity data with an input model associated with a gesture using a plurality of criteria defined by the input model, the plurality of criteria comprising a pattern of proximity data representing changes in the proximity of the computing device to the object during the detected motion and a pattern of motion data representing the detected motion;

determine a confidence level associated with the match based on how closely the motion data and proximity data match the plurality of criteria in the input model;

in response to determining the confidence level is above a threshold, perform an action associated with the gesture; and

in response to determining the confidence level is below the threshold,

prompt for designated confirmatory input, wherein the designated confirmatory input is different from the gesture, and

perform the action associated with the gesture in response to receiving designated confirmatory input indicating a positive confirmation to perform the action.

16. The computing device of claim 15 , wherein the processor is further configured to:

determine the action associated with the gesture based on a state of an application when the motion data was measured.

17. The computing device of claim 15 , wherein the processor is further configured to:

store the motion data in association with the proximity data in memory as an additional input model in response to receiving the designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action.

18. The computing device of claim 15 , wherein the processor is further configured to:

adjust the input model in response to receiving the designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action.

19. The computing device of claim 15 , wherein the processor is further configured to:

receive, prior to measuring the motion data and proximity data, a selection indicating selection of a contact entry, the contact entry having a plurality of phone numbers stored in memory; and when performing the action:

prompt a user to select a phone number of the plurality of phone numbers for dialing;

receive a voice input selecting the phone number; and

dial the phone number.

20. The computing device of claim 15 , wherein the processor is further configured to prompt by announcing, via a speaker of the computing device, a voice prompt,

wherein designated confirmatory input indicating a positive confirmation to perform the action or designated confirmatory input indicating a negative confirmation to not perform the action comprising a voice input is received via a microphone of the computing device.

21. A non-transitory machine readable medium having tangibly stored thereon executable instructions for execution by a processor of a computing device, the computing device comprising a memory, motion detection sensor and a proximity sensor each coupled to the processor, wherein the executable instructions, when executed by the processor of the electronic device, cause the processor to:

measure, using the motion detection sensor, motion data representing a detected motion of the computing device at regular intervals;

measure, using the proximity sensor, proximity data representing a proximity of the computing device to an object at regular intervals over a duration of the detected motion;

match the motion data and proximity data with an input model associated with a gesture using a plurality of criteria defined by the input model, the plurality of criteria comprising a pattern of proximity data representing changes in the proximity of the computing device to the object during the detected motion and a pattern of motion data representing the detected motion;

determine a confidence level associated with the match based on how closely the motion data and proximity data match the plurality of criteria in the input model;

in response to determining the confidence level is above a threshold, perform an action associated with the gesture; and

in response to determining the confidence level is below the threshold,

prompt for designated confirmatory input, wherein the designated confirmatory input is different from the gesture, and

perform the action associated with the gesture in response to receiving designated confirmatory input indicating a positive confirmation to perform the action.