Determining correlated movements associated with movements caused by driving a vehicle

1. A computer-implemented method comprising:

identifying a threshold number of sets of correlated movements, wherein identifying a set of correlated movements comprises:

(i) receiving data associated with a first movement of a wearable computing system;

(ii) within a predetermined amount of time, receiving data associated with a second movement of the wearable computing system;

(iii) determining that the first movement and the second movement are correlated with one another; and

(iv) treating the first movement and the second movement as the set of correlated movements;

determining that the threshold number of sets of correlated movements are associated with movements caused by driving a vehicle; and

causing the wearable computing system to select a driving user interface for the wearable computing system.

2. The method of claim 1 , further comprising determining that the wearable computing system is disposed on a driver of the vehicle.

3. The method of claim 2 , wherein the wearable computing system is mounted on a head of the driver of the vehicle.

4. The method of claim 1 , wherein the first movement of the wearable computing system is characteristic of a body movement associated with driving the vehicle.

5. The method of claim 4 , wherein the body movement comprises one or more of the following: (a) body movement associated with turning on a turn signal, (b) body movement associated with shifting a gear of the vehicle, (c) body movement associated with rotating a steering wheel, and (d) body movement associated with the driver looking over their shoulder.

6. The method of claim 1 , wherein the second movement of the wearable computing device is characteristic of a movement of the vehicle.

7. The method of claim 6 , wherein the movement of the vehicle comprises one or more of the following: (a) movement associated with a lane change, (b) movement associated with acceleration of the vehicle, and (c) movement associated with a turn of the vehicle.

8. The method of claim 1 , wherein the second movement is of a larger scale than the first movement.

9. The method of claim 1 , wherein the threshold number is two or greater.

10. The method of claim 1 , wherein the predetermined amount of time is between 0 and 30 seconds.

11. The method of claim 1 , wherein (i) receiving data associated with a first movement of the wearable computing system and (ii) within a predetermined amount of time, receiving data associated with a second movement of the wearable computing system comprises:

(i) an accelerometer receiving data associated with a first movement of the wearable computing system and (ii) within a predetermined amount of time, the accelerometer receiving data associated with a second movement of the wearable computing system.

12. A non-transitory computer readable medium having instructions stored thereon that, in response to execution by a processor, cause the processor to perform operations, the instructions comprising:

instructions for identifying a threshold number of sets of correlated movements, wherein the instructions for identifying a set of correlated movements comprise:

(i) instructions for receiving data associated with a first movement of a wearable computing system;

(ii) instructions for receiving, within a predetermined amount of time, data associated with a second movement of the wearable computing system;

(iii) instructions for determining that the first movement and the second movement are correlated with one another; and

(iv) instructions for treating the first movement and the second movement as the set of correlated movements;

instructions for determining that the threshold number of sets of correlated movements are associated with movements caused by driving a vehicle; and

instructions for causing the wearable computing system to select a driving user interface for the wearable computing system.

13. The non-transitory computer readable medium of claim 12 , wherein the first movement of the wearable computing system is characteristic of a body movement associated with driving the vehicle.

14. The non-transitory computer readable medium of claim 13 , wherein the body movement comprises one or more of the following: (a) body movement associated with turning on a turn signal, (b) body movement associated with shifting a gear of the vehicle, (c) body movement associated with rotating a steering wheel, and (d) body movement associated with the driver looking over their shoulder.

15. The non-transitory computer readable medium of claim 12 , wherein the second movement of the wearable computing device is characteristic of a movement of the vehicle.

16. The non-transitory computer readable medium of claim 15 , wherein the movement of the vehicle comprises one or more of the following: (a) movement associated with a lane change, (b) movement associated with acceleration of the vehicle, and (c) movement associated with a turn of the vehicle.

17. A wearable computing system comprising:

a head-mounted display, wherein the head-mounted display is configured to display computer-generated information and allow visual perception of a real-world environment; and

a controller, wherein the controller is configured to:

(a) identify a threshold number of sets of correlated movements, wherein identifying a set of correlated movements comprises:

(i) receiving data associated with a first movement of the wearable computing system;

(ii) within a predetermined amount of time, receiving data associated with a second movement of the wearable computing system;

(iii) determining that the first movement and the second movement are correlated with one another; and

(iv) treating the first movement and the second movement as the set of correlated movements;

(b) determine that the threshold number of sets of correlated movements are associated with movements caused by driving a vehicle; and

(c) cause the wearable computing system to select a driving user interface for the wearable computing system.

18. The wearable computing system of claim 17 , wherein the controller comprises a movement-detection system.

19. The wearable computing system of claim 18 , wherein the movement-detection system comprises an accelerometer.

20. The wearable computing system of claim 17 , wherein the wearable computing system is configured to be mounted on a head of a driver of the vehicle.