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Neural Patterns of Emotions in EEG and fMRI: Emotions' Patterns in EEG Signals
Abstract
Emotions have a vital role in human beings, and it is tough to define because of their intangible nature. Emotions vary over time and from person to person. Sometimes, emotions that sound good to people also may harm human beings. It depends upon one's health conditions and circumstances. Emotions are related to neurological, physiological, or cognitive processes. Though emotions are intangible, many invasive and non-invasive techniques are available to read the electrical activity in the brain to sense the different kinds of emotions. EEG is a non-invasive technique used in brain wave analyses. The main goal of this chapter is to give a brief introduction to EEG, characteristics of the brain waves, which part of the brain is responsible for emotions, the neurological structure of emotions, and lists of deep learning algorithms used to classify the various emotions. This chapter also contains data sets of emotions and a few key challenges in this field. For researchers with engineering backgrounds who are naive to this field, this chapter could be helpful.
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