AIMC Topic: Pattern Recognition, Automated

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Enhancing Facial Expression Recognition through Light Field Cameras.

Sensors (Basel, Switzerland) Sep 3, 2024
In this paper, we study facial expression recognition (FER) using three modalities obtained from a light field camera: sub-aperture (SA), depth map, and all-in-focus (AiF) images. Our objective is to construct a more comprehensive and effective FER s...
Humans Automated Facial Recognition Pattern Recognition, Automated Facial Expression Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, ...
Pattern Recognition, Automated Adult Algorithms Gestures Hand Male Humans Female Posture Electromyography Neural Networks, Computer Deep Learning Young Adult Discriminant Analysis Healthy Volunteers
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Multi-view scene matching with relation aware feature perception.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
For scene matching, the extraction of metric features is a challenging task in the face of multi-source and multi-view scenes. Aiming at the requirements of multi-source and multi-view scene matching, a siamese network model for Spatial Relation Awar...
Image Processing, Computer-Assisted Pattern Recognition, Automated Visual Perception Neural Networks, Computer Algorithms Humans
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Learning the feature distribution similarities for online time series anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 21, 2024
Identifying anomalies in multi-dimensional sequential data is crucial for ensuring optimal performance across various domains and in large-scale systems. Traditional contrastive methods utilize feature similarity between different features extracted ...
Humans Neural Networks, Computer Machine Learning Algorithms Time Factors Pattern Recognition, Automated
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Human hand gesture recognition using fast Fourier transform with coot optimization based on deep neural network.

Network (Bristol, England) Aug 21, 2024
Hand motion detection is particularly important for managing the movement of individuals who have limbs amputated. The existing algorithm is complex, time-consuming and difficult to achieve better accuracy. A DNN is suggested to recognize human hand ...
Signal Processing, Computer-Assisted Hand Electromyography Algorithms Deep Learning Gestures Pattern Recognition, Automated Movement Fourier Analysis Humans Neural Networks, Computer
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TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition.

Sensors (Basel, Switzerland) Aug 21, 2024
In recent years, significant progress has been made in facial expression recognition methods. However, tasks related to facial expression recognition in real environments still require further research. This paper proposes a tri-cross-attention trans...
Pattern Recognition, Automated Facial Expression Image Processing, Computer-Assisted Humans Automated Facial Recognition Neural Networks, Computer Face Algorithms
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Enhanced Hand Gesture Recognition with Surface Electromyogram and Machine Learning.

Sensors (Basel, Switzerland) Aug 13, 2024
This study delves into decoding hand gestures using surface electromyography (EMG) signals collected via a precision Myo-armband sensor, leveraging machine learning algorithms. The research entails rigorous data preprocessing to extract features and ...
Hand Electromyography Pattern Recognition, Automated Movement Male Gestures Signal Processing, Computer-Assisted Young Adult Adult Humans Machine Learning Algorithms Female
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CASL: Capturing Activity Semantics Through Location Information for Enhanced Activity Recognition.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Using portable tools to monitor and identify daily activities has increasingly become a focus of digital healthcare, especially for elderly care. One of the difficulties in this area is the excessive reliance on labeled activity data for correspondin...
Humans Semantics Algorithms Databases, Factual Pattern Recognition, Automated Supervised Machine Learning Activities of Daily Living
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Research into the Applications of a Multi-Scale Feature Fusion Model in the Recognition of Abnormal Human Behavior.

Sensors (Basel, Switzerland) Aug 5, 2024
Due to the increasing severity of aging populations in modern society, the accurate and timely identification of, and responses to, sudden abnormal behaviors of the elderly have become an urgent and important issue. In the current research on compute...
Humans Neural Networks, Computer Algorithms Behavior Image Processing, Computer-Assisted Pattern Recognition, Automated
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Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.

IEEE transactions on neural networks and learning systems Aug 5, 2024
Multichannel electroencephalogram (EEG) is an array signal that represents brain neural networks and can be applied to characterize information propagation patterns for different emotional states. To reveal these inherent spatial graph features and i...
Pattern Recognition, Automated Brain-Computer Interfaces Male Machine Learning Emotions Algorithms Electroencephalography Humans Brain Neural Networks, Computer Female Young Adult Adult
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