EEG-based BCI emotion recognition: A survey

EP Torres, EA Torres, M Hernández-Álvarez, SG Yoo - Sensors, 2020 - mdpi.com
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 …

Internet-of-Things-enabled data fusion method for sleep healthcare applications

F Yang, Q Wu, X Hu, J Ye, Y Yang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) aims to exploit the Internet-of-Things (IoT) techniques
to provide better medical treatment scheme for patients with smart, automatic, timely, and …

A fuzzy computational model of emotion for cloud based sentiment analysis

C Karyotis, F Doctor, R Iqbal, A James, V Chang - Information Sciences, 2018 - Elsevier
This paper presents a novel emotion modeling methodology for incorporating human
emotion into intelligent computer systems. The proposed approach includes a method to …

Affective state estimation based on Russell's model and physiological measurements

R Cittadini, C Tamantini, F Scotto di Luzio, C Lauretti… - Scientific Reports, 2023 - nature.com
Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …

Fuzzy rule based profiling approach for enterprise information seeking and retrieval

O Alhabashneh, R Iqbal, F Doctor, A James - Information Sciences, 2017 - Elsevier
With the exponential growth of information available on the Internet and various
organisational intranets there is a need for profile based information seeking and retrieval …

On the use of voice activity detection in speech emotion recognition

MF Alghifari, TS Gunawan, SAA Qadri, M Kartiwi… - Bulletin of Electrical …, 2019 - beei.org
Emotion recognition through speech has many potential applications, however the
challenge comes from achieving a high emotion recognition while using limited resources or …

Emotion recognition from physiological signals using parallel stacked autoencoders

S Bagherzadeh, K Maghooli, J Farhadi… - Neurophysiology, 2018 - Springer
The problem of recognition of emotions in humans is still open from a few aspects. In our
study, we used a deep learning method named stacked autoencoder to classify regions of …

An approach to emotion recognition in single-channel EEG signals: A mother child interaction

A Gomez, L Quintero, N López… - Journal of Physics …, 2016 - iopscience.iop.org
In this work, we perform a first approach to emotion recognition from EEG single channel
signals extracted in four (4) mother-child dyads experiment in developmental psychology …

Specification of users' cognitive functions and emotions to promote their training through Serious games

CG Llanez, P Vallejo, J Aguilar - Entertainment Computing, 2025 - Elsevier
Serious Games are gaining recognition as a powerful tool to promote education, specifically
in organizational training processes, to achieve effective learning. In these learning …

Detecting emotional valence using time-domain analysis of speech signals

G Deshpande, VS Viraraghavan… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Mental health is a growing concern and its problems range from inability to cope with day-to-
day stress to severe conditions like depression. Ability to detect these symptoms heavily …