26 天前 - … , brain–computer interfaces enable more human–machine interactions. The topic of
… a fresh approach to EEG-based emotion identification by utilising deep learning to combine …

55 天前 - … , and possible solutions of EEG-based braincomputer interface: a … Deep learning
method for selecting effective models and feature groups in emotion recognition using an …

58 天前 - … Interaction (HCI). This study makes a noteworthy contribution to existing methods for
EEG-based emotion identification, … a deeper understanding of human-computer interaction. …

88 天前 - … ) signals using effective connectivity and deep learning methods. Emotion recognition
is an important task for various applications such as human-computer interaction and, …

99 天前 - … in the field of Human-Computer Interaction, dedicated to … interaction between
machine intelligence and human … , sentiment analysis, or emotion recognition applications. …

106 天前 - … , and human–computer interaction. The regular way of … of EEG-based biometrics
in emotion identification. … advanced machine learning algorithms, such as deep learning …

106 天前 - … of EEG-based emotion detection such as Convolutional 2024 International Conference
on Distributed Computing … of deep learning models for EEG-based emotion recognition. …

112 天前 - … Lately, numerous development of EEG-based BCI emotion identification methods
are … have allowed computers or machines for understanding, recognize, and analyse feelings […

119 天前 - … Patient emotion recognition in human computer interaction system based on
machine learning method and interactive design theory. Journal of Medical Imaging and Health …

120 天前 - … This study suggests an emotion detection system that … To increase the accuracy of
EEG-based emotion identification, … machine learning method for detecting emotions from EEG …