Electroencephalography (EEG)

Electroencephalography (EEG) is a non-invasive neuroimaging technique that records electrical activity in the brain using electrodes attached to the scalp. In emotion recognition AI, EEG can be used to measure changes in brain activity that correspond to different emotional states, such as happiness, sadness, anger, or fear. By analyzing these changes in brain activity, EEG-based emotion recognition systems can accurately identify a person’s emotional state in real-time.

One of the main advantages of EEG in emotion recognition AI is its high temporal resolution. EEG can detect changes in brain activity within milliseconds, allowing for real-time monitoring of emotional responses. Additionally, EEG is non-invasive and relatively inexpensive compared to other neuroimaging techniques, making it more accessible for researchers and developers. Overall, EEG-based emotion recognition has promising applications in various fields, including psychology, marketing, and human-computer interaction.