Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
Affective brain–computer interfaces (abcis): A tutorial
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 …
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
To investigate critical frequency bands and channels, this paper introduces deep belief
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …
networks (DBNs) to constructing EEG-based emotion recognition models for three emotions …
Hierarchical convolutional neural networks for EEG-based emotion recognition
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 …
reading. In this paper, we use hierarchical convolutional neural network (HCNN) to classify …
Augmented and virtual reality evolution and future tendency
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 …
reality has thrived to date mainly on mobile applications, with games like Pokémon Go or the …
Use of physiological signals to predict cybersickness
Cybersickness is a common and unpleasant side effect of virtual reality immersion. We
measured physiological changes that were experienced by seated subjects who interacted …
measured physiological changes that were experienced by seated subjects who interacted …
A multimodal approach to estimating vigilance using EEG and forehead EOG
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 …
user-aware human computer interactions. In this paper, we focus on the problem of …
Big data analytics: Computational intelligence techniques and application areas
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 …
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 …
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
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 …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …