AIMC Topic: Attention

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MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.

Computer methods and programs in biomedicine May 17, 2025
BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such as anxiety and depression, making it critical to study the relationship between emotions and mood disorders to explore the causes of mood disorders. E...
Mood Disorders Humans Electroencephalography Attention Algorithms Emotions
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Multi-agent self-attention reinforcement learning for multi-USV hunting target.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is proposed to solve the challenge of multiple unmanned surface vehicles (multi-USV) hunting target at the surface. The kinematic, dynamic, and environmental ...
Attention Neural Networks, Computer Reinforcement, Psychology Humans Algorithms Robotics
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Single-microphone deep envelope separation based auditory attention decoding for competing speech and music.

Journal of neural engineering May 7, 2025
In this study, we introduce an end-to-end single microphone deep learning system for source separation and auditory attention decoding (AAD) in a competing speech and music setup. Deep source separation is applied directly on the envelope of the obse...
Female Young Adult Adult Humans Electroencephalography Attention Acoustic Stimulation Speech Perception Male Deep Learning Speech Music Auditory Perception
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SMANet: A Model Combining SincNet, Multi-Branch Spatial-Temporal CNN, and Attention Mechanism for Motor Imagery BCI.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
Building a brain-computer interface (BCI) based on motor imagery (MI) requires accurately decoding MI tasks, which poses a significant challenge due to individual discrepancy among subjects and low signal-to-noise ratio of EEG signals. We propose an ...
Imagination Adult Humans Electroencephalography Brain-Computer Interfaces Male Neural Networks, Computer Signal-To-Noise Ratio Signal Processing, Computer-Assisted Deep Learning Algorithms Movement Attention
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Developmental coordination disorder and cerebral visual impairment: What is the association?

Research in developmental disabilities Apr 24, 2025
INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond motor planning, affecting visual perceptual and visual-motor integration abilities, similar to children with Cerebral Visual Impairment (CVI), making ...
Neuropsychological Tests Male Visual Acuity Motor Skills Child Vision Disorders Humans Visual Perception Cognition Attention Motor Skills Disorders Female
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AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition.

IEEE transactions on cybernetics Apr 23, 2025
The underlying time-variant and subject-specific brain dynamics lead to inconsistent distributions in electroencephalogram (EEG) topology and representations within and between individuals. However, current works primarily align the distributions of ...
Attention Emotions Electroencephalography Signal Processing, Computer-Assisted Databases, Factual Humans Neural Networks, Computer Brain Algorithms
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HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection.

IEEE transactions on cybernetics Apr 23, 2025
Electroencephalography (EEG) is widely utilized for train driver state detection due to its high accuracy and low latency. However, existing methods for driver status detection rarely use the rich physiological information in EEG to improve detection...
Attention Automobile Driving Machine Learning Algorithms Adult Male Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Can humanoid robots be used as a cognitive offloading tool?

Cognitive research: principles and implications Apr 17, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-...
Male Cognition Robotics Conflict, Psychological Executive Function Female Attention Young Adult Psychomotor Performance Adult Humans
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AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on a Cue-Masked Paradigm.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 14, 2025
Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is attending in noisy environments. Decoding algorithms and experimental paradigm designs are crucial for the development of technology in practical appl...
Female Auditory Perception Young Adult Orientation Adult Signal Processing, Computer-Assisted Male Cues Humans Attention Deep Learning Acoustic Stimulation Algorithms Electroencephalography
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Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention.

Scientific reports Apr 12, 2025
Facial expression recognition (FER) plays a crucial role in interpreting human emotions and intentions in real-life applications, such as advanced driver assistance systems. However, it faces challenges due to subtle facial variations, environmental ...
Facial Expression Emotions Facial Recognition Attention Automated Facial Recognition Humans Neural Networks, Computer Algorithms
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