The natural ability of humans to receive messages from the surrounding environment can be obtained through the senses. The senses will respond to stimuli received in various conditions including emotional conditions. Psychologically, recognizing human emotions directly can be assessed from several criteria, such as facial expressions, sounds, or body movements. This research aims to analyze human emotions from the biomedical side through brainwave signals using EEG sensors. The EEG signal obtained will be extracted using Fast Fourier Transform and first-order statistical features. four emotional conditions (normal, focus, sadness and shock emotions). The results of this research are expected to help improve users in knowing their mental state accurately. The development of this kind of emotional analysis has the potential to create wide applications in the future environment. Research results have shown and compared frequency stimuli from normal emotions, sadness, focus and shock in a variety of situations.
Monitoring of EEG Signals is obtained by grouping based on
Emotions are intrinsic to the way humans are interacting with each other. A human being can understand the emotions of another human being to a certain extent and behave in the best manner to improve the communication in a certain situation however a machine cannot. This paper aims to make an analysis of human emotion from brainwave. Certainly, this paper deals with the detection of emotions using EEG signals and based on the emotion detected. In this project an Electroencephalogram (EEG) headset will be used to record the brain signals of an individual by analyzing his/her brain state and to detect his/her emotions using FFT algorithms. Using EEG-based emotion recognition, the computer can observe the users emotional state. As a result, this will help to improve users knowing his mental state accurately. This kind of emotion analysis system will have widespread potential applications in future environments.
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