GE AVIAT SYSTEMS LTD 2020-06-1719 Jun 2020 23:47
METHOD OF ASSESSING A PILOT EMOTIONAL STATE
A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.
[0007] Every time a pilot enters a ****pit, data indicative of a pilot's emotional state can be collected. During a pre-flight routine, a pilot's voice, body movements, eye movements and various biometric parameters such as heart rate and blood pressure can be monitored and stored as data. Baseline statistics can be stored that are indicative of pilot's emotional or behavioral state. These statistics can used as a comparison for understanding a pilot's current emotional state. For example, if real-time data of a pilot is indicative of anger, i.e. loud voice, darting eye movements, high pulse rate, the system might alert a ground crew to the pilot's emotional state. In another example, if the real-time 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 personal. In these cases, it might be beneficial to remove the pilot from service of the aircraft.
[0008] It should be recognized that pilot stress levels and behaviors can be function of the pilot's personal habits such as food intake, exercise, and even sleep habits. Baseline models of pilot's ordinary or typical emotional state can be developed to provide a threshold indictor of the pilot baseline emotional state characteristics. The pilot's emotional state can vary over time or even flight-to-flight. For example, if a pilot did not get much rest before a flight, the pilot might become stressed or angry more easily. In other words, fatigue might increase stress or anger sensitivity to workload and minor changes in pilot environment can have a larger detrimental impact. As a result, it can be beneficial to track a pilot's emotional state during flight and adjust the pilot's workload when the pilot's emotional state exceeds a predetermined threshold.
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