AIMC Topic: Pattern Recognition, Automated

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Exploring the Impact of the Class on In-the-Wild Human Activity Recognition.

Sensors (Basel, Switzerland) Jun 16, 2024
Monitoring activities of daily living (ADLs) plays an important role in measuring and responding to a person's ability to manage their basic physical needs. Effective recognition systems for monitoring ADLs must successfully recognize naturalistic ac...
Human Activities Machine Learning Humans Algorithms Activities of Daily Living Walking Pattern Recognition, Automated
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KLSANet: Key local semantic alignment Network for few-shot image classification.

Neural networks : the official journal of the International Neural Network Society Jun 10, 2024
Few-shot image classification involves recognizing new classes with a limited number of labeled samples. Current local descriptor-based methods, while leveraging consistent low-level features across visible and invisible classes, face challenges incl...
Image Processing, Computer-Assisted Dogs Pattern Recognition, Automated Semantics Algorithms Animals Neural Networks, Computer
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Basketball technique action recognition using 3D convolutional neural networks.

Scientific reports Jun 7, 2024
This research investigates the recognition of basketball techniques actions through the implementation of three-dimensional (3D) Convolutional Neural Networks (CNNs), aiming to enhance the accurate and automated identification of various actions in b...
Neural Networks, Computer Humans Pattern Recognition, Automated Video Recording Reproducibility of Results Movement Datasets as Topic Basketball
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Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition.

Sensors (Basel, Switzerland) Jun 4, 2024
Gesture recognition using electromyography (EMG) signals has prevailed recently in the field of human-computer interactions for controlling intelligent prosthetics. Currently, machine learning and deep learning are the two most commonly employed meth...
Algorithms Deep Learning Neural Networks, Computer Machine Learning Hand Electromyography Pattern Recognition, Automated Gestures Signal Processing, Computer-Assisted Humans
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A robust event-driven approach to always-on object recognition.

Neural networks : the official journal of the International Neural Network Society Jun 3, 2024
We propose a neuromimetic architecture capable of always-on pattern recognition, i.e. at any time during processing. To achieve this, we have extended an existing event-based algorithm (Lagorce et al., 2017), which introduced novel spatio-temporal fe...
Pattern Recognition, Automated Algorithms Pattern Recognition, Visual Humans Neurons Neural Networks, Computer
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Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection.

IEEE transactions on neural networks and learning systems Jun 3, 2024
Source-free domain adaptation (SFDA) aims to adapt a lightweight pretrained source model to unlabeled new domains without the original labeled source data. Due to the privacy of patients and storage consumption concerns, SFDA is a more practical sett...
Machine Learning Algorithms Pattern Recognition, Automated Humans Neural Networks, Computer
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Adaptively identify and refine ill-posed regions for accurate stereo matching.

Neural networks : the official journal of the International Neural Network Society May 18, 2024
Stereo matching cost constrains the consistency between pixel pairs. However, the consistency constraint becomes unreliable in ill-posed regions such as occluded or ambiguous regions of the images, making it difficult to explore hidden correspondence...
Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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Self-supervised motor imagery EEG recognition model based on 1-D MTCNN-LSTM network.

Journal of neural engineering May 17, 2024
Aiming for the research on the brain-computer interface (BCI), it is crucial to design a MI-EEG recognition model, possessing a high classification accuracy and strong generalization ability, and not relying on a large number of labeled training samp...
Neural Networks, Computer Electroencephalography Humans Brain-Computer Interfaces Supervised Machine Learning Imagination Pattern Recognition, Automated
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ET-Network: A novel efficient transformer deep learning model for automated Urdu handwritten text recognition.

PloS one May 17, 2024
Automatic Urdu handwritten text recognition is a challenging task in the OCR industry. Unlike printed text, Urdu handwriting lacks a uniform font and structure. This lack of uniformity causes data inconsistencies and recognition issues. Different wri...
Pattern Recognition, Automated Handwriting Language Deep Learning Humans Algorithms
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An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 2, 2024
To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st...
Knee Prosthesis Logistic Models Machine Learning Amputees Humans Algorithms Pattern Recognition, Automated Adult Locomotion Walking Femur Male Intention
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