[Retracted] Analysis of Psychological and Emotional Tendency Based on Brain Functional Imaging and Deep Learning

L Zhou - Discrete Dynamics in Nature and Society, 2021 - Wiley Online Library
When facing various pressures, human beings will have different degrees of bad
psychological emotions, especially depression and anxiety. How to effectively obtain …

Human emotion recognition with electroencephalographic multidimensional features by hybrid deep neural networks

Y Li, J Huang, H Zhou, N Zhong - Applied Sciences, 2017 - mdpi.com
Featured Application The method presented in this study can be applied in many fields, such
as mental health care, entertainment consumption behavior, society safety, and so on. For …

EEG-based Emotion Recognition with Spatial and Functional Brain Mapping of CNS and PNS Signals

Z Cen, X Deng, H Zheng, J Zhao, A Jin, C Fu… - arXiv preprint arXiv …, 2022 - arxiv.org
Emotion plays a significant role in our daily life. Recognition of emotion is wide-spread in the
field of health care and human-computer interaction. Emotion is the result of the coordinated …

Affective brain-computer interface in emotion artificial intelligence and medical engineering

Z Lu, T Wang, R Zhang - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Emotion has an important impact on human behavior and mental health in people's daily
interpersonal communication and behavior decision-making. Recently, with the rapid …

Emotion recognition of subjects with hearing impairment based on fusion of facial expression and EEG topographic map

D Li, J Liu, Y Yang, F Hou, H Song… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Emotion analysis has been employed in many fields such as human-computer interaction,
rehabilitation, and neuroscience. But most emotion analysis methods mainly focus on …

EEG-Based functional connectivity representation using phase locking value for brain network based applications

V Gonuguntla, JH Kim - … Conference of the IEEE Engineering in …, 2020 - ieeexplore.ieee.org
In more recent times, the network perspective study of the human brain has expanded
enormously due to the advancements in the field of network neuroscience. Existing methods …

Emotional analysis and recognition based on EEG brain network

H Deng, G Qian, Y Zhang, C Hu… - … on Advanced Cloud …, 2020 - ieeexplore.ieee.org
Emotions are closely linked to the life of human beings. Studying the difference of brain
mechanism and brain function of human emotional expression helps to improve the human …

Emotion classification based on brain functional connectivity network

X Sun, B Hu, X Zheng, Y Yin, C Ji - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Although more and more researchers pay attention to the emotion classification, traditional
emotion classification methods can not embrace changes in the global and local areas of …

Multimodal emotion classification method and analysis of brain functional connectivity networks

X Sun, X Zheng, T Li, Y Li, L Cui - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Since multimodal emotion classification in different human states has rarely been studied,
this paper explores the emotional mechanisms of the brain functional connectivity networks …

Emotion recognition and dynamic functional connectivity analysis based on EEG

X Liu, T Li, C Tang, T Xu, P Chen, A Bezerianos… - IEEE …, 2019 - ieeexplore.ieee.org
Although emotion recognition techniques have been well developed, the understanding of
the neural mechanism remains rudimentary. The traditional static network approach cannot …