Optimizing display orientation

1. A mobile computing device comprising:

an accelerometer operable to provide a first input to an orientation module that is configured to use a plurality of signals to determine a spatial orientation of the mobile computing device; and

a magnetometer operable to provide a second input to the orientation module, the orientation module operable to:

receive the first input from the accelerometer;

receive the second input from the magnetometer;

determine two or more angles of incidence relative to two or more planes;

determine a relative accuracy of the first input and the second input in predicting device orientation at the two or more angles of incidence;

assign weightings to the first input and a second weighting to the second input based on the relative accuracy of the first input and the relative accuracy of the second input; and

determine an orientation of the mobile computing device based on the first weighting of the first input and the second weighting of the second input.

2. The mobile computing device of claim 1 , wherein determining the relative accuracy of the first input and the second input comprises using stored accuracy values corresponding to a plurality of inputs from the accelerometer and the magnetometer at a plurality of angles of incidence relative to the two or more planes.

3. The mobile computing device of claim 2 , wherein the stored accuracy values are obtained through experimentation by the mobile computing device.

4. The mobile computing device of claim 1 , wherein assigning weightings comprises using a weightings table that includes weights at various angles of incidence.

5. The mobile computing device of claim 4 , wherein the orientation module is further operable to:

store accuracy values for a plurality of inputs from the accelerometer and magnetometer for different angles of incidence relative to two or more planes,

wherein stored accuracy values are used to add weights at various angles to the weightings table.

6. The mobile computing device of claim 1 , further comprising:

a display operable to display content; and

a display manager operable to rotate the orientation of the displayed content based on the determined orientation of the device.

7. The mobile computing device of claim 1 , further comprising:

an artificial intelligence module configured to learn optimal orientations of the display based on inputs from the accelerometer and magnetometer to determine whether the display manager should rotate the orientation of the displayed content.

8. The mobile computing device of claim 1 , wherein assigning a first weighting of the first input and a second weighting of the second input is further based on a pre-determined orientation of the mobile computing device.

9. A mobile computing device comprising:

an accelerometer operable to provide a first input to an orientation module that is configured to use a plurality of signals to determine a spatial orientation of the mobile computing device; and

a magnetometer operable to provide a second input to the orientation module,

the orientation module operable to:

receive the first input from the accelerometer;

receive the second input from the magnetometer;

determine two or more angles of incidence relative to two or more planes;

assign a first weighting of the first input and a second weighting of the second input using a weighting table and the two or more angles of incidence, wherein the weighting table comprises weightings at various values of two or more angles of incidence relative to two or more planes; and

determine an orientation of the mobile computing device based on the first weighting of the first input and the second weighting of the second input.

10. The mobile computing device of claim 9 , further comprising:

a display operable to display content; and

a display manager operable to rotate the orientation of the displayed content based on the determined orientation of the device.

11. The mobile computing device of claim 9 , wherein the weightings table comprises weights that were previously determined empirically and that reflect the relative accuracies of the inputs received from the accelerometer and the magnetometer at different orientations of the device.

12. The mobile computing device of claim 9 , wherein assigning a first weighting of the first input and a second weighting of the second input is further based on a pre-determined orientation of the mobile computing device.

13. A computer-implemented method comprising:

performing operations that, when executed by a computer, perform operations including:

receiving the first input from the accelerometer;

receiving the second input from the magnetometer;

determining two or more angles of incidence relative to two or more planes;

determining a relative accuracy of the first input and the second input in predicting device orientation at the two or more angles of incidence;

assigning weightings to the first input and a second weighting to the second input based on the relative accuracy of the first input and the relative accuracy of the second input; and

determining an orientation of the mobile computing device based on the first weighting of the first input and the second weighting of the second input.

14. The method of claim 13 , wherein determining the relative accuracy of the first input and the second input comprises using stored accuracy values corresponding to a plurality of inputs from the accelerometer and the magnetometer at a plurality of angles of incidence relative to the two or more planes.

15. The method of claim 14 , wherein the stored accuracy values are obtained through experimentation by the mobile computing device.

16. The method of claim 13 , wherein assigning weightings comprises using a weightings table that includes weights at various angles of incidence.

17. The method of claim 16 , further comprising:

storing accuracy values for a plurality of inputs from the accelerometer and magnetometer for different angles of incidence relative to two or more planes; and

adding the stored accuracy values to the weightings table.

18. The method of claim 13 , further comprising:

rotating an orientation of content displayed on a display included on the mobile computing device based on the determined orientation of the mobile computing device.

19. The method of claim 13 , further comprising:

learning optimal orientations of the display based on inputs from the accelerometer and magnetometer; and

determining whether the display manager should rotate the orientation of the displayed content.

20. The method of claim 13 , wherein assigning a first weighting of the first input and a second weighting of the second input is further based on a pre-determined orientation of the mobile computing device.