Fuzzy Logic on Long Short-Term Memory for Smart Person-Identification System through Electroencephalogram

Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface

“…It has been used to detect the fatigue level of humans using a smart decision-making framework. Biometric authentication systems have been made using EEG [5]. EEG signals have been attempted to convert thoughts into text.…”

“…As the brain controls our thinking and moods, therefore studying the brain signals can also indicate the mood 1: EEG electrodes placements for 14 electrodes used for the experiment and the region in the brain the placement corresponds to and named according to MCN nomenclature of an individual. Several studies have been performed earlier to understand the brain signal to understand mood, however, there are very few approaches to establishing a smart decision-making system to understand the mood of a human [5]. Therefore with this experiment, attempts have been made to create an artificially intelligent decisionmaking system to classify the mood of a subject by means Figure 2: Sample of EEG recordings for the 14 electrodes placed with MCN nomenclature where the x axis represents the scaled magnitude of the reading and y axis represents the i'th element of the sequence where each element corresponds to 0.0078125 seconds of the Neural Network algorithm.…”

“…As the brain controls our thinking and moods, therefore studying the brain signals can also indicate the mood of an individual. Several studies have been performed earlier to understand the brain signal to understand mood, however, there are very few approaches to establishing a smart decision-making system to understand the mood of a human [5]. Therefore with this experiment, attempts have been made to create an artificially intelligent decision-making system to classify the mood of a subject by means of the Neural Network algorithm.…”