Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review

A Al-Nafjan, M Hosny, Y Al-Ohali, A Al-Wabil - Applied Sciences, 2017 - mdpi.com
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Affective brain–computer interfaces (abcis): A tutorial

D Wu, BL Lu, B Hu, Z Zeng - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …

Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks

WL Zheng, BL Lu - IEEE Transactions on autonomous mental …, 2015 - ieeexplore.ieee.org
To investigate critical frequency bands and channels, this paper introduces deep belief
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …

Hierarchical convolutional neural networks for EEG-based emotion recognition

J Li, Z Zhang, H He - Cognitive Computation, 2018 - Springer
Traditional machine learning methods suffer from severe overfitting in EEG-based emotion
reading. In this paper, we use hierarchical convolutional neural network (HCNN) to classify …

Augmented and virtual reality evolution and future tendency

L Muñoz-Saavedra, L Miró-Amarante… - Applied sciences, 2020 - mdpi.com
Augmented reality and virtual reality technologies are increasing in popularity. Augmented
reality has thrived to date mainly on mobile applications, with games like Pokémon Go or the …

Use of physiological signals to predict cybersickness

MS Dennison, AZ Wisti, M D'Zmura - Displays, 2016 - Elsevier
Cybersickness is a common and unpleasant side effect of virtual reality immersion. We
measured physiological changes that were experienced by seated subjects who interacted …

A multimodal approach to estimating vigilance using EEG and forehead EOG

WL Zheng, BL Lu - Journal of neural engineering, 2017 - iopscience.iop.org
Objective. Covert aspects of ongoing user mental states provide key context information for
user-aware human computer interactions. In this paper, we focus on the problem of …

Big data analytics: Computational intelligence techniques and application areas

R Iqbal, F Doctor, B More, S Mahmud… - … Forecasting and Social …, 2020 - Elsevier
Big Data has significant impact in develo** functional smart cities and supporting modern
societies. In this paper, we investigate the importance of Big Data in modern life and …

Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers

J Atkinson, D Campos - Expert Systems with Applications, 2016 - Elsevier
Current emotion recognition computational techniques have been successful on associating
the emotional changes with the EEG signals, and so they can be identified and classified …

Analytical map** of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …