Predictive determination

1. A method for predicting a gesture made by a user to a first application, comprising:

receiving image data captured by a depth camera, wherein the image data comprises depth information and is representative of a motion or pose performed by the user;

applying a filter to the image data to interpret a gesture, wherein the filter comprises a first parameter about the gesture and a second parameter about the gesture, the first parameter corresponding to an earlier part of the gesture than the second parameter;

determining, from the applied filter, an output corresponding to the gesture being performed, wherein determining the output includes determining the output corresponds to a high confidence level when the first parameter corresponds to a high confidence level and the second parameter does not correspond to a high confidence level; and

sending the first application the output.

2. The method of claim 1 , wherein determining, from the applied filter, an output corresponding to the gesture being performed includes:

determining that future received data will correspond to the gesture being performed based on a correlation between the image data and a prior data that corresponds to the gesture being completed.

3. The method of claim 1 , wherein determining, from the applied filter, an output corresponding to the gesture being performed includes:

determining that future received data will correspond to the gesture being performed based on a physiology of the user.

4. The method of claim 1 , wherein the output comprises a confidence level that the data is indicative of the gesture being performed.

5. The method of claim 1 , wherein the output comprises an indication that the filter is being predicted.

6. The method of claim 1 , further comprising:

receiving second image data;

applying the filter to the second image data to interpret the gesture;

determining from the applied filter that the gesture has been performed;

determining a second output based on the applied filter; and

sending the first application the second output.

7. The method of claim 6 , wherein the output comprises an indication that the filter is being predicted and the second output comprises an indication that the filter has been completed.

8. The method of claim 1 , further comprising:

receiving second image data;

applying the filter to the second image data to interpret the gesture;

determining from the applied filter that the gesture was not performed;

determining a second output based on the applied filter, the second output indicating that the gesture was not performed; and

sending the first application the second output.

9. The method of claim 1 , further comprising:

receiving a parameter from the first application, the parameter defining a threshold of one of a volume of space, a velocity, a direction of movement, an angle, or a place where a movement occurs; and wherein

applying a filter to the image data to interpret the gesture includes applying the parameter to the image data to interpret the gesture.

10. The method of claim 1 , wherein the output corresponds to an output that would be determined when the gesture was completed.

11. The method of claim 1 , wherein the filter is linked to a previous filter, and determining, from the applied filter, an output corresponding to the gesture being performed, includes:

determining the output based on a prior output of the previous filter.

12. The method of claim 1 , further comprising:

applying a second filter to the image data to interpret the gesture, the second filter representing a second gesture and comprising base information about the second gesture;

determining, from the applied second filter, a second output corresponding to the second gesture being performed and a context, the second output being indicative of a greater confidence level than the output; and

sending the first application the second output.

13. A method for processing a gesture made by a user to a first application, comprising:

receiving image data captured by a depth camera, wherein the image data comprises depth information and is representative of a motion or pose performed by the user;

determining an output from the filter based on the image data;

sending the application the output;

applying a second filter to the image data to interpret the image data, the second filter representing a second gesture and comprising base information about the second gesture;

determining, from the applied second filter, a second output corresponding to the second

gesture being performed and a context, the second output being indicative of a greater confidence level than the output; and

sending the application the second output.

14. The method of claim 13 , further comprising:

sending the application at least one selected from the group consisting of a velocity of movement, a release point, a distance, and a body part that made the gesture.

15. The method of claim 13 , further comprising:

sending the application a plurality of outputs, each output corresponding to a filter of a plurality of filters.

16. A computer readable storage medium, comprising computer readable instructions that when executed on a computer, cause the computer to perform operations comprising:

receiving from a first application of the a plurality of applications a value for at least one parameter;

receiving image data captured by a depth camera, wherein the image data comprises depth information and is representative of a motion or pose performed by the user;

applying the filter to the image data to interpret the image data, wherein the filter comprises a first parameter and a second parameter about a gesture, the first parameter corresponding to an earlier part of the gesture than the second parameter;

determining a confidence level that the image data is indicative of the gesture, wherein determining the confidence level includes determining the confidence level corresponds to a high confidence level when the first parameter corresponds to a high confidence level and the second parameter does not correspond to a high confidence level; and

sending the first application an indication of the gesture with its associated confidence level.

17. The computer-readable storage medium of claim 16 , further comprising:

applying a second filter to the image data;

determining, from the applied second filter, a confidence level that the image data is indicative of a second gesture corresponding to the second filter, the second confidence level being greater than the confidence level; and

sending the first application the second confidence level.

18. The computer-readable storage medium of claim 16 , wherein determining a confidence level that the image data is indicative of at least one gesture includes:

determining that future received data will be indicative of at least one gesture based on a correlation between the image data and prior image data that is indicative of the gesture.

19. The computer-readable storage medium of claim 16 , wherein determining a high confidence level that the image data is indicative of the at least one gesture based on the first parameter corresponding to a high confidence level and the second parameter not corresponding to a high confidence level comprises:

determining that future received data will correspond to the gesture being performed based on a correlation between the image data and a prior data that corresponds to the gesture being completed.

20. The computer-readable storage medium of claim 16 , wherein determining a high confidence level that the image data is indicative of the at least one gesture based on the first parameter corresponding to a high confidence level and the second parameter not corresponding to a high confidence level comprises:

determining that future received data will correspond to the gesture being performed based on a physiology of the user.