Driver productivity snapshots and dynamic capture of driver status

1. A system for determining productivity coaching information, comprising:

an input interface configured to receive vehicle event recorder data;

a processor configured to:

determine a first state based at least in part on a first set of vehicle event recorder data;

determine a second state based at least in part on a second set of vehicle event recorder data;

determine whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of the productivity characterization mode, automatically begin acquiring a third set of vehicle event recorder data, wherein at least some of the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.

2. The system of claim 1 , wherein the processor is further configured to receive the third set of vehicle event recorder data from a server.

3. The system of claim 1 , wherein the third set of vehicle event recorder data comprises image data.

4. The system of claim 1 , wherein the third set of vehicle event recorder data comprises video data.

5. The system of claim 1 , wherein the third set of vehicle event recorder data comprises audio data.

6. The system of claim 1 , wherein the third set of vehicle event recorder data comprises vehicle front data.

7. The system of claim 1 , wherein the third set of vehicle event recorder data comprises vehicle rear data.

8. The system of claim 1 , wherein the third set of vehicle event recorder data comprises vehicle inside data.

9. The system of claim 1 , wherein the first set of vehicle event recorder data comprises inside camera data.

10. The system of claim 1 , wherein the first set of vehicle event recorder data comprises ignition data.

11. The system of claim 1 , wherein the first set of vehicle event recorder data comprises gear data.

12. The system of claim 1 , wherein the first set of vehicle event recorder data comprises speed data.

13. The system of claim 1 , wherein the first set of vehicle event recorder data comprises door data.

14. The system of claim 1 , wherein the first set of vehicle event recorder data comprises rear camera data.

15. The system of claim 1 , wherein the first set of vehicle event recorder data comprises rear door data.

16. The system of claim 1 , wherein the first set of vehicle event recorder data comprises utility power data.

17. The system of claim 1 , wherein the processor is further configured to receive the first set of vehicle event recorder data.

18. A method for determining productivity coaching information, comprising:

determining, using a processor, a first state based at least in part on a first set of vehicle event recorder data;

determining, using the processor, a second state based at least in part on a second set of vehicle event recorder data;

determining, using the processor, whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of the productivity characterization mode, automatically begin acquiring, using the processor, a third set of vehicle event recorder data, wherein at least some of the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.

19. The method of claim 18 , further comprising making a productivity coaching determination, including scoring a driver based on productivity, the scoring being based on the third set of vehicle event recorder data.

20. The method of claim 19 , wherein the scoring is based on a level of driver activity indicated by the third set of vehicle event recorder data.

21. The method of claim 18 , wherein the determination of the state transition is based on a likelihood of a driver performing at a pre-defined level of productivity during the second state.

22. A computer program product for determining productivity coaching information, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

determining, using a processor, a first state based at least in part on a first set of vehicle event recorder data;

determining, using the processor, a second state based at least in part on a second set of vehicle event recorder data;

determining, using the processor, whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of a productivity characterization mode, automatically begin acquiring, using the processor, a third set of vehicle event recorder data, wherein the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.