AIMC Topic: Attention

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Emotional arousal amplifies competitions across goal-relevant representation: A neurocomputational framework.

Cognition Mar 8, 2019
Emotional arousal often facilitates memory for some aspects of an event while impairing memory for other aspects of the same event. Across three experiments, we found that emotional arousal amplifies competition among goal-relevant representations, s...
Emotions Norepinephrine Memory, Short-Term Young Adult Adult Male Memory Facial Recognition Pattern Recognition, Visual Conditioning, Classical Models, Biological Attention Goals Humans Neural Networks, Computer Female
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IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching.

Computational intelligence and neuroscience Mar 3, 2019
We propose a novel end-to-end approach, namely, the semantic-containing double-level embedding Bi-LSTM model (SCDE-Bi-LSTM), to solve the three key problems of Q&A matching in the Chinese medical field. In the similarity calculation of the Q&A core m...
Machine Learning Algorithms Language Asian People Attention Semantics Humans Neural Networks, Computer
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Deep Attention Network for Egocentric Action Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 26, 2019
Recognizing a camera wearer's actions from videos captured by an egocentric camera is a challenging task. In this paper, we employ a two-stream deep neural network composed of an appearance-based stream and a motion-based stream to recognize egocentr...
Databases, Factual Image Processing, Computer-Assisted Attention Humans Neural Networks, Computer Video Recording Pattern Recognition, Automated Human Activities
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A unified computational framework for visual attention dynamics.

Progress in brain research Feb 8, 2019
Eye movements are an essential part of human vision as they drive the fovea and, consequently, selective visual attention toward a region of interest in space. Free visual exploration is an inherently stochastic process depending on image statistics ...
Visual Perception Eye Movements Models, Theoretical Humans Attention Neural Networks, Computer
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Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 7, 2019
Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentrated on estimating static salient locations. In contrast, dynamic attributes presented by saccade hav...
Humans Algorithms Databases, Factual Models, Neurological Attention Male Saccades Deep Learning Female Image Processing, Computer-Assisted Young Adult Adult
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Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.

Computational intelligence and neuroscience Feb 6, 2019
This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id). It contains several specific multilayer convolutional structures, where the input and output of a convolutional layer are c...
Recognition, Psychology Identification, Psychological Attention Humans Pattern Recognition, Automated Neural Networks, Computer Biometric Identification Algorithms
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SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2019
Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography epochs one at a time. In this paper, we tackle the task as a sequence-to-sequence classification...
Electrooculography Sleep Stages Electromyography Attention Polysomnography Databases, Factual Reproducibility of Results Electroencephalography Humans Software Algorithms Neural Networks, Computer Machine Learning
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Faster R-CNN and Geometric Transformation-Based Detection of Driver's Eyes Using Multiple Near-Infrared Camera Sensors.

Sensors (Basel, Switzerland) Jan 7, 2019
Studies are being actively conducted on camera-based driver gaze tracking in a vehicle environment for vehicle interfaces and analyzing forward attention for judging driver inattention. In existing studies on the single-camera-based method, there are...
Automobile Driving Humans Neural Networks, Computer Eye Movements Attention
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Study protocol for a randomised controlled trial of humanoid robot-based distraction for venipuncture pain in children.

BMJ open Dec 14, 2018
INTRODUCTION: Intravenous insertion (IVI) is a very common procedure in the emergency department (ED). IVI is often painful and stressful for both children and their families. Currently, distraction therapy is not used as a standard of care for IVI i...
Hospitals, Pediatric Attention Pain Management Robotics Humans Emergency Service, Hospital Male Female Pain Measurement Equivalence Trials as Topic Child Adaptation, Psychological Infusions, Intravenous Phlebotomy Alberta
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P_VggNet: A convolutional neural network (CNN) with pixel-based attention map.

PloS one Dec 12, 2018
Attention maps have been fused in the VggNet structure (EAC-Net) [1] and have shown significant improvement compared to that of the VggNet structure. However, in [1], E-Net was designed based on the facial action unit (AU) center and for facial AU de...
Image Enhancement Humans Image Processing, Computer-Assisted Neural Networks, Computer Attention Algorithms Pattern Recognition, Automated
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