Looking at physiological data we can detect if pilot is under stress.
Most flight accidents are caused by a loss of "airplane state awareness". That is, the crew being unable to stay focused. Pilots may be distracted or sleepy, which can quickly lead to a disaster.
The challenge was to build a model to detect potentially dangerous situations from aircrew's physiological data. Using the breath, heart and brain signals recorded from pilots test situations, I developed a model to monitor their cognitive state. With such tool pilots could then be alerted when they a dangerous state, preventing accidents and saving lives.
Check it on GitHub
Reducing Aviation Fatalities
Looking at physiological data we can detect if pilot is under stress.
Most flight accidents are caused by a loss of "airplane state awareness". That is, the crew being unable to stay focused. Pilots may be distracted or sleepy, which can quickly lead to a disaster.
The challenge was to build a model to detect potentially dangerous situations from aircrew's physiological data. Using the breath, heart and brain signals recorded from pilots test situations, I developed a model to monitor their cognitive state. With such tool pilots could then be alerted when they a dangerous state, preventing accidents and saving lives.
Check it on
GitHub
Datali