Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism
Deep learning (DL) technologies have recently shown great potential in emotion recognition
based on electroencephalography (EEG). However, existing DL-based EEG emotion …
based on electroencephalography (EEG). However, existing DL-based EEG emotion …
Effective affective EEG-based indicators in emotion-evoking VR environments: An evidence from machine learning
This study investigates the use of electroencephalography (EEG) to characterize emotions
and provides insights into the consistency between self-reported and machine learning …
and provides insights into the consistency between self-reported and machine learning …
Exploring User Engagement in Museum Scenario with EEG—A Case Study in MAV Craftsmanship Museum in Valle d'Aosta Region, Italy
In the last decade, museums and exhibitions have benefited from the advances in Virtual
Reality technologies to create complementary virtual elements to the traditional visit. The …
Reality technologies to create complementary virtual elements to the traditional visit. The …
Classification I-EEG Signals Using Ensemble Algorithms
T Van Huynh - … on Information and Computer Science (NICS), 2022 - ieeexplore.ieee.org
The study was research in the bioinformatics field. The imagined signals are classified as
the Support Vector Machine, K-Nearest Neighbor, and Ensemble Classifiers. A 5-channel …
the Support Vector Machine, K-Nearest Neighbor, and Ensemble Classifiers. A 5-channel …