One of the most prevalent human illnesses is mental weariness, which is brought on by too much labour and too little sleep, both of which may deplete one's intellectual capacity. The detection of mental weariness has been researched using several EEG characteristics. In order to define mental exhaustion and provide an overview of prospective EEG aspects that may be connected to mental fatigue, this research analyses human EEG patterns for safe driving behaviour. A narrative review technique is used for explaining the neuronal activity of the human brain during mental exhaustion. Discussed are specific EEG characteristics related to driving activities, relationships with various EEG band waves, and feature extraction techniques. According to this early research, most studies tend to attribute the driver's mental tiredness to an increase in parietal alpha power. For our first analysis, we looked through public EEG libraries to find prospective data sources. Finally, we provide a conceptual framework that may be used to recognise mental fatigue. Finally, future research may focus on identifying other EEG variables that are more crucial for generalisation across study circumstances.

EEG, Modelling, Neural, Cognitive.