PTCERE: personality-trait mapping using cognitive-based emotion recognition from electroencephalogram signals.

Human emotion recognition is a technique for identifying human emotions with respect to various aspects of human life, such as in decision-making, detecting lies, assessing social behaviour, measuring brain-related activity and identifying the personality of a person. In general, this paper aims to propose an efficient EEG-based cognitive personality trait detection based on the human emotion recognition system. Two different algorithms were proposed for this system, namely the normalised window-short time Fourier transform (NW-STFT) algorithm and the cognitive mapping-based Hebbian learning (CM-HL) algorithm. The NW-STFT algorithm dynamically fixes the window size for feature extraction using EEG-based emotion recognition, and the CM-HL algorithm is proposed for mapping the top five big personality traits with the help of recognised primary emotions. The pre-processing method reduces the contaminated artefacts from the benchmark dataset, as well as the brain signal's band power frequency range analysis time. The proposed emotion recognition method has shown a significant improvement in accuracy, leading to greater enhancement in personality-trait mapping. The outcome shows that the proposed two algorithms are effective in finding emotional and personality trait mapping. query Please check the edit made in the article title. [ABSTRACT FROM AUTHOR]