Cross-cultural emotion recognition with EEG and eye movement signals based on multiple stacked broad learning system

X Gong, CLP Chen, T Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With increasing social globalization, interaction between people from different cultures has
become more frequent. However, there are significant differences in the expression and …

Depression recognition from EEG signals using an adaptive channel fusion method via improved focal loss

J Shen, Y Zhang, H Liang, Z Zhao, K Zhu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Depression is a serious and common psychiatric disease characterized by emotional and
cognitive dysfunction. In addition, the rates of clinical diagnosis and treatment for depression …

Exploring the intrinsic features of EEG signals via empirical mode decomposition for depression recognition

J Shen, Y Zhang, H Liang, Z Zhao… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Depression is a severe psychiatric illness that causes emotional and cognitive impairment
and has a considerable impact on patients' thoughts, behaviors, feelings and well-being …

Advancements in affective disorder detection: Using multimodal physiological signals and neuromorphic computing based on snns

F Tian, L Zhang, L Zhu, M Zhao, J Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …

Can a holistic view facilitate the development of intelligent traditional Chinese medicine? A survey

G Tian, K Qian, X Li, M Sun, H Jiang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent traditional Chinese medicine (ITCM) is an emerging interdisciplinary subject. It
aims to efficiently and precisely promote the prevention and treatment of diseases and …

What can facial movements reveal? Depression recognition and analysis based on optical flow using bayesian networks

Y Ma, J Shen, Z Zhao, H Liang, Y Tan… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Recent evidence have demonstrated that facial expressions could be a valid and important
aspect for depression recognition. Although various works have been achieved in automatic …

RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents

Y Shu, H Zhang, H Gu, P Zhang, T Lu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid evolution of the web has led to an exponential growth in content. Recommender
systems play a crucial role in human–computer interaction (HCI) by tailoring content based …

A novel intelligence evaluation framework: exploring the psychophysiological patterns of gifted students

J Shen, K Zhu, Z Zhao, H Liang, Y Ma… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligence evaluation is a desirable intelligent application for sensing and interaction in
various scenarios, eg, education, office, and the aviation industry. For example, identifying …

An emotion recognition method based on eye movement and audiovisual features in MOOC learning environment

J Bao, X Tao, Y Zhou - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
In recent years, more and more people have begun to use massive online open course
(MOOC) platforms for distance learning. However, due to the space–time isolation between …

Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition

J Shen, K Zhu, H Liu, J Wu, K Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As an essential challenge within the realm of affective computing, emotion recognition
assumes a vital role in bestowing computers with a higher level and comprehensive …