Level of Pilot Fear on Maneuvering based Brain Wave Using Naïve Bayes Method

In aviation, safety is a top priority. To maintain the stability of airline performance and minimize accidents due to emotional responses from pilots, preventive measures are needed. The study focused on identifying pilots' fear responses when at a certain altitude. To detect fear, this study used Electroencephalography (EEG) with the Naïve Bayes method because this method was able to classify responses with high accuracy that could reach 95.0%. This signifies the potential of technology to understand pilots' emotional responses and enable appropriate preventive action to be taken. Thus, the use of EEG contributes significantly to the development of pilot decision support systems to improve flight welfare and safety. This research will help future improvements to the safety of aviation industry because this can determine the classification of the level of pilot fear when maneuvering. Although this method has a high accuracy percentage, there will be a lot of distortion if the signals isn't applied with filtration.