Recognition of Human Emotional Activities using Brainwaves based on Time Frequency Analysis

Abstract

Emotion is not only a word it actually determines the current mind set of all humans. Even emotion represents character of all humans. But now days in the field of medicine stress is the commonly used word. Stress is generating in all ages of people. Because of this many people are suffering from low sleep, low energy, and low work. Presence of this stress fully collapses the life of humans. So a detailed study has to be done on this stress and help the people to overcome out of it. To measure the stress we will be using EEG (Electroencephalography). This EEG will be in the form of signals which has to analyze with new signal processing techniques. Here we will do machine learning techniques to analyze the emotion recognition of humans. We will use the concept of neural networks in order to classify the signals and determine the current emotions n which state they are in.