AIMC Topic: Attention

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Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

Computational intelligence and neuroscience May 31, 2022
With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR have been widely used in early childhood education. In the process of the slow development and applica...
Humans Neural Networks, Computer Computer Simulation Child, Preschool Attention Sports Movement
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Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 30, 2022
Electroencephalography (EEG) is widely used for mental stress classification, but effective feature extraction and transfer across subjects remain challenging due to its variability. In this paper, a novel deep neural network combining convolutional ...
Humans Neural Networks, Computer Electroencephalography Attention
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CA-XTree: Age Estimation of Grouped Gradient Regression Tree with Local Channel Attention.

Computational intelligence and neuroscience May 28, 2022
Face age estimation has been widely used in video surveillance, human-computer interaction, market analysis, image processing analysis, and many fields. There are several problems that need to be solved in image-based face age estimation: (1) redunda...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Attention Face Problem Solving
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Improved Feature-Based Gaze Estimation Using Self-Attention Module and Synthetic Eye Images.

Sensors (Basel, Switzerland) May 26, 2022
Gaze is an excellent indicator and has utility in that it can express interest or intention and the condition of an object. Recent deep-learning methods are mainly appearance-based methods that estimate gaze based on a simple regression from entire f...
Neural Networks, Computer Lighting Attention Face Iris
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Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

IEEE journal of translational engineering in health and medicine May 25, 2022
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in inte...
Humans Neural Networks, Computer Algorithms Wearable Electronic Devices Attention Human Activities
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Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition.

Journal of neuroscience methods May 16, 2022
BACKGROUND: Multimedia stimulation of brain activity is important for emotion induction. Based on brain activity, emotion recognition using EEG signals has become a hot issue in the field of affective computing.
Humans Neural Networks, Computer Emotions Electroencephalography Attention
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PyraPVConv: Efficient 3D Point Cloud Perception with Pyramid Voxel Convolution and Sharable Attention.

Computational intelligence and neuroscience May 13, 2022
Designing efficient deep learning models for 3D point cloud perception is becoming a major research direction. Point-voxel convolution (PVConv) Liu et al. (2019) is a pioneering research work in this topic. However, since with quite a few layers of s...
Neural Networks, Computer Attention Perception
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A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection.

Neural networks : the official journal of the International Neural Network Society May 11, 2022
Recent studies have shown that alpha oscillations (8-13 Hz) enable the decoding of auditory spatial attention. Inspired by sparse coding in cortical neurons, we propose a spiking neural network model for auditory spatial attention detection. The prop...
Neural Networks, Computer Models, Neurological Electroencephalography Neurons Attention
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Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 11, 2022
In clinical practice, automatic polyp segmentation from colonoscopy images is an effective assistant manner in the early detection and prevention of colorectal cancer. This paper proposed a new deep model for accurate polyp segmentation based on an e...
Neural Networks, Computer Learning Image Processing, Computer-Assisted Attention
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A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms.

Computational intelligence and neuroscience May 11, 2022
Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of parameters...
Neural Networks, Computer Algorithms Computers Attention
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