Recognition of human emotions using EEG signals: A review

MM Rahman, AK Sarkar, MA Hossain… - Computers in biology …, 2021 - Elsevier
Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …

Emotion recognition for human-robot interaction: Recent advances and future perspectives

M Spezialetti, G Placidi, S Rossi - Frontiers in Robotics and AI, 2020 - frontiersin.org
A fascinating challenge in the field of human–robot interaction is the possibility to endow
robots with emotional intelligence in order to make the interaction more intuitive, genuine …

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 …

Human emotion recognition based on time–frequency analysis of multivariate EEG signal

V Padhmashree, A Bhattacharyya - Knowledge-Based Systems, 2022 - Elsevier
Understanding the expression of human emotional states plays a prominent role in
interactive multimodal interfaces, affective computing, and the healthcare sector. Emotion …

ReliefF-based EEG sensor selection methods for emotion recognition

J Zhang, M Chen, S Zhao, S Hu, Z Shi, Y Cao - Sensors, 2016 - mdpi.com
Electroencephalogram (EEG) signals recorded from sensor electrodes on the scalp can
directly detect the brain dynamics in response to different emotional states. Emotion …

Mental effort detection using EEG data in E-learning contexts

FR Lin, CM Kao - Computers & Education, 2018 - Elsevier
E-learning becomes an alternative learning mode since the prevalence of the Internet.
Especially, the advance of MOOC (Massive Open Online Course) technology enables a …

[HTML][HTML] Biosensor real-time affective analytics in virtual and mixed reality medical education serious games: cohort study

PE Antoniou, G Arfaras, N Pandria… - JMIR Serious …, 2020 - researchprotocols.org
Background: The role of emotion is crucial to the learning process, as it is linked to
motivation, interest, and attention. Affective states are expressed in the brain and in overall …

Future Trends for Human‐AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles

A Cichocki, AP Kuleshov - Computational Intelligence and …, 2021 - Wiley Online Library
This article discusses some trends and concepts in develo** a new generation of future
Artificial General Intelligence (AGI) systems which relate to complex facets and different …

Emotion detection from EEG recordings

J Liu, H Meng, A Nandi, M Li - 2016 12th international …, 2016 - ieeexplore.ieee.org
Human brain behavior is very complex and it is difficult to interpret. Human emotion might
come from brain activities. However, the relationship between human emotion and brain …

Emotion recognition using a reduced set of EEG channels based on holographic feature maps

A Topic, M Russo, M Stella, M Saric - Sensors, 2022 - mdpi.com
An important function of the construction of the Brain-Computer Interface (BCI) device is the
development of a model that is able to recognize emotions from electroencephalogram …