Methods, devices, and systems for recording a flight segment

1. A method implemented on a mobile computing device, the method comprising:

receiving static pilot data;

receiving static aircraft data associated with an aircraft;

receiving dynamic aircraft data over a time period;

determining aircraft performance data based on the static aircraft data and the dynamic aircraft data;

providing the aircraft performance data to a graphical user interface (GUI) associated with the mobile computing device; and

storing the static pilot data and the aircraft performance data.

2. The method of claim 1 , wherein mobile computing device is at least one of a smart phone and a smart tablet.

3. The method of claim 1 , wherein the static pilot data is provided by a remote server over a wide area network (WAN).

4. The method of claim 1 , wherein the static aircraft data is provided by a remote server over a wide area network (WAN).

5. The method of claim 1 , wherein the mobile computing device is in a fixed position relative to a yaw axis, a pitch axis, and a roll axis of the aircraft during the time period.

6. The method of claim 1 , wherein the aircraft performance data comprises pitch data, yaw data, and roll data over the time period.

7. The method of claim 1 wherein the aircraft performance data comprises velocity data and altitude data over the time period.

8. The method of claim 1 wherein the aircraft performance data comprises at least one of rate of climb data and rate of descent over the time period.

9. The method of claim 1 further comprising receiving weather data associated with the time period and further based on the weather data.

10. The method of claim 1 further comprising receiving airport data and determining the aircraft performance data is further based on the airport data.

11. The method of claim 1 , wherein a first portion of the dynamic aircraft data is provided by a plurality of mobile device sensors embedded in the mobile computing device and a second portion of the dynamic aircraft data provided by at least one of a personal area network (PAN) connection and a local area network connection (LAN).

12. The method of claim 11 , wherein the second portion of the dynamic aircraft data is further provided by at least one of an aviation navigation system embedded within the aircraft and a mobile high performance sensor device.

13. The method of claim 11 , wherein the plurality of mobile device sensors include at least three of a global positioning system (GPS) receiver, an accelerometer, an electronic compass, a barometer, a microphone, and an orientation detector.

14. The method of claim 1 further comprising receiving dynamic pilot data provided in near real time by a wearable health monitoring device and determining the aircraft performance data is further based on the dynamic pilot data.

15. The method of claim 1 , wherein the time period is representative of a leg of an entire flight having a plurality of legs and the plurality of legs include a takeoff, a descent, a final approach, and a landing.

16. The method of claim 1 wherein the aircraft performance data comprises turbulence data over the time period and the method further comprises:

providing the turbulence data to a remote server over a wide area network (WAN), wherein the remote server is configured for:

receiving a plurality of turbulence datasets from a plurality of aircraft; and

generating turbulence mapping data in near-real-time associated with the plurality of turbulence datasets;

receiving the turbulence mapping data; and

displaying the turbulence mapping data on the GUI.

17. The method of claim 1 , wherein the aircraft performance data comprises wind data over the time period and the method further comprises:

providing the wind data to a remote server over a wide area network (WAN), wherein the remote server is configured for:

receiving a plurality of wind datasets from a plurality of aircraft; and

generating wind mapping data in near-real-time associated with the plurality of wind datasets;

receiving the wind mapping data; and

displaying the wind mapping data on the GUI.

18. The method of claim 1 , wherein the mobile computing device is configured for installation within a cockpit of the aircraft and the method further includes receiving at least a portion of the dynamic aircraft data over an internal communication bus within the aircraft.

19. A mobile computing device comprising

a memory; and

a processor electrically coupled with the memory, processor configured for:

receiving static pilot data;

receiving static aircraft data associated with an aircraft;

receiving dynamic aircraft data over a time period;

determining aircraft performance data based on the static aircraft data and the dynamic aircraft data;

providing the aircraft performance data to a graphical user interface (GUI) associated with the mobile computing device; and

storing the static pilot data and the aircraft performance data.

20. A non-transitory computer readable medium comprising a plurality of machine-readable instructions which when executed by one or more processors of a mobile computing device are adapted to cause the mobile computing device to perform a method, the method comprising:

receiving static pilot data;

receiving static aircraft data associated with an aircraft;

receiving dynamic aircraft data over a time period;

determining aircraft performance data based on the static aircraft data and the dynamic aircraft data;

providing the aircraft performance data to a graphical user interface (GUI) associated with the mobile computing device; and

storing the static pilot data and the aircraft performance data.