EEG-Based BCI Emotion Recognition: A Survey

Sensors (Basel). 2020 Sep 7;20(18):5083. doi: 10.3390/s20185083.

Abstract

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.

Keywords: BCI; classification; emotion; extraction; feature; preprocessing; recognition; selection; survey; trends.

Publication types

  • Review