AIMC Topic: Arousal

Clear Filters Showing 21 to 30 of 71 articles

Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition.

Computers in biology and medicine Aug 17, 2022
In recent years, emotion recognition based on electroencephalography (EEG) has received growing interests in the brain-computer interaction (BCI) field. The neuroscience researches indicate that the left and right brain hemispheres demonstrate activi...
Neural Networks, Computer Electroencephalography Arousal Algorithms Emotions
View on PubMed DOI

Effect of robot's vertical body movement on its perceived emotion: A preliminary study on vertical oscillation and transition.

PloS one Aug 10, 2022
The emotion expressions of social robots are some of the most important developments in recent studies on human-robot interactions (HRIs). Several research studies have been conducted to assess effective factors to improve the quality of emotion expr...
Emotions Robotics Movement Arousal Humans Anger
View on PubMed DOI

EEG Feature Extraction and Data Augmentation in Emotion Recognition.

Computational intelligence and neuroscience Mar 28, 2022
Emotion recognition is a challenging problem in Brain-Computer Interaction (BCI). Electroencephalogram (EEG) gives unique information about brain activities that are created due to emotional stimuli. This is one of the most substantial advantages of ...
Emotions Neural Networks, Computer Electroencephalography Support Vector Machine Arousal
View on PubMed DOI

Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm.

Scientific reports Mar 3, 2022
In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Valence) are reflected in electroencephalographic (EEG) signals. We performed the experiments on EEG data of 32 subjects from the DEAP public dataset, wh...
Arousal Emotions Electroencephalography Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning.

Nature communications Feb 25, 2022
Consciousness can be defined by two components: arousal (wakefulness) and awareness (subjective experience). However, neurophysiological consciousness metrics able to disentangle between these components have not been reported. Here, we propose an ex...
Brain Injuries Anesthesia, General Humans Deep Learning Arousal Wakefulness Consciousness Electroencephalography
View on PubMed DOI

Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.

Sensors (Basel, Switzerland) Feb 24, 2022
Extensive possibilities of applications have rendered emotion recognition ineluctable and challenging in the fields of computer science as well as in human-machine interaction and affective computing. Fields that, in turn, are increasingly requiring ...
Electroencephalography Arousal Emotions Humans Neural Networks, Computer Deep Learning
View on PubMed DOI

Investigating EEG-based functional connectivity patterns for multimodal emotion recognition.

Journal of neural engineering Jan 31, 2022
Previous studies on emotion recognition from electroencephalography (EEG) mainly rely on single-channel-based feature extraction methods, which ignore the functional connectivity between brain regions. Hence, in this paper, we propose a novel emotion...
Arousal Emotions Electroencephalography Brain Neural Networks, Computer
View on PubMed DOI

An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition.

Computers in biology and medicine Nov 22, 2021
Domain adaptation (DA) tackles the problem where data from the source domain and target domain have different underlying distributions. In cross-domain (cross-subject or cross-dataset) emotion recognition based on EEG signals, traditional classificat...
Arousal Electroencephalography Neural Networks, Computer Emotions
View on PubMed DOI

EEG Channel Correlation Based Model for Emotion Recognition.

Computers in biology and medicine Aug 10, 2021
Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to improve Human-Computer Interaction (HCI). Recognizing emotion from Electroencephalogram (EEG) has been globally accepted in many applications such as intelligent ...
Artificial Intelligence Emotions Neural Networks, Computer Humans Electroencephalography Arousal
View on PubMed DOI

EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels.

Sensors (Basel, Switzerland) Jul 27, 2021
Besides facial or gesture-based emotion recognition, Electroencephalogram (EEG) data have been drawing attention thanks to their capability in countering the effect of deceptive external expressions of humans, like faces or speeches. Emotion recognit...
Electroencephalography Electrodes Arousal Neural Networks, Computer Humans Emotions
View on PubMed DOI
Popular Topics
Recent Journals