Recognition of human emotions using EEG signals: A review
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 …
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
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 …
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
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 …
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 …
interactive multimodal interfaces, affective computing, and the healthcare sector. Emotion …
ReliefF-based EEG sensor selection methods for emotion recognition
Electroencephalogram (EEG) signals recorded from sensor electrodes on the scalp can
directly detect the brain dynamics in response to different emotional states. Emotion …
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 …
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 …
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 …
Artificial General Intelligence (AGI) systems which relate to complex facets and different …
Emotion detection from EEG recordings
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 …
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
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 …
development of a model that is able to recognize emotions from electroencephalogram …