Perspective (graphical)

Pure mathematics

Mathematics

Human–computer interaction

Software engineering

Psychiatry

Machine learning

Artificial intelligence

Psychology

Brain–computer interface

Implementation

Data science

Emotion recognition

Computer science

Feature extraction

Field (mathematics)

Electroencephalography

Affective computing

Sensors

Affecting computing is an artificial intelligence area of study that recognizes, interprets, processes, and simulates human affects. The user’s emotional states can be sensed through electroencephalography (EEG)-based Brain Computer Interfaces (BCI) devices. Research in emotion recognition using these tools is a rapidly growing field with multiple inter-disciplinary applications. This article performs a survey of the pertinent scientific literature from 2015 to 2020. It presents trends and a comparative analysis of algorithm applications in new implementations from a computer science perspective. Our survey gives an overview of datasets, emotion elicitation methods, feature extraction and selection, classification algorithms, and performance evaluation. Lastly, we provide insights for future developments.

EEG-Based BCI Emotion Recognition: A Survey