PRIORITY INFORMATION

The present application claims priority to GB 1820115.2 filed on Dec. 11, 2018.

BACKGROUND

Contemporary aircraft travel flight paths that generally includes a climb, a cruise, and a descent. Pilots along with flight management systems (FMS) implement the flight plan. The FMS may generate the flight plan by taking into account parameters specific to the aircraft and to the flight conditions such as the payload, the weight of the aircraft, the quantity of fuel onboard, temperature, wind, altitude, etc., and of the time constraints imposed by the air traffic control. The flight plan may describe all the waypoints or positions through which the aircraft is to pass, with the altitude and corresponding speed at each waypoint.

Pilot emotion state can vary before takeoff or during the course of any flight. If real-time data of a pilot is indicative of an emotional state outside baseline pilot parameters, it can be beneficial to alert a ground crew to the pilot's emotional state. For example, if real-time pilot data shows a sudden spike or drop in pulse rate, this might be indicative of a pilot medical condition, to which the system might alert emergency medical personnel. In another example, if real-time pilot data before flight shows a pilot is angry or stressed beyond a normal pilot baseline model, it might be beneficial to alert a ground crew.

BRIEF DESCRIPTION

In one aspect, the disclosure relates to a method of assessing a pilot emotional state and sending an alert based on the emotional state. The method includes tracking during a time period, using at least one sensor, one of an image sensor data, voice data or a biometric parameter of a pilot. Determining, using a controller that is operatively connected to at least one sensor, a probability of a likely emotional state from a list of emotional states of a pilot based on one of the image sensor data, voice data or the biometric parameter. Comparing, using a processor, the probability of one of the likely emotional states of the pilot with a baseline emotional state of the pilot. Sending, using the controller, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

In another aspect, the disclosure relates to a method of adjusting a flight crew before a planned flight. The method includes tracking over a time period, using at least one sensor, image sensor data, voice data or a biometric parameter of a pilot over one or more flights of an aircraft before the planned flight. Determining during the one or more flights, using a controller that is operatively connected to the at least one sensor, a probability for each likely emotional state from a list of emotional states of a pilot based on one of the image sensor data, voice data or the biometric parameter. Comparing, using a processor, the probability of one of the likely emotional states of the pilot with a baseline model emotional state of the pilot. Determining if the emotional state of the pilot varies based on the flight crew. Adjusting, using the controller, the crew roster prior to the planned flight if the emotional state of the pilot is one of stress or anger when working with a specific flight crew.

