Emotion Detection using EEG Signal Analysis

Abstract

Emotion is a subjective experience-based mental state and emotive response to an event. This feeling is fundamental to everyday human behaviour and communication. Emotion is a psychophysiological process that influences a person's behaviour in a certain setting and is crucial to inter-personal communication. A person's voice, facial expressions, muscles, nervous system activity, and endocrine system activity are all influenced by their emotions. The electroencephalogram (EEG) is one technique for identifying emotions. Furthermore, EEG-based emotion identification has applications in a variety of industries, including marketing, gaming, and e-learning, and it has the potential to improve the intelligence of human-computer interfaces. This project records useful information related to various emotional states by using an EEG sensor to monitor brain waves in realtime. This raw data is transmitted to an ESP8266 micro controller by the EEG sensor. The DF Mini Player and the ESP8266 work together flaw-lessly to playback preset audio files that correlate to the identified emotions. As an Internet of Things device, the ESP8266 allows audio playback information and the detected emotional state to be communicated to the cloud or other devices that are connected. This allows for remote monitor-ing and the initiation of activities based on the user's emotions.