AIMC Topic: Pattern Recognition, Automated

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DT-Transformer: A Text-Tactile Fusion Network for Object Recognition.

IEEE transactions on haptics Mar 21, 2025
Humans rely on multiple senses to understand their surroundings, and so do robots. Current research in haptic object classification focuses on visual-haptic methods, but faces limitations in performance and dataset size. Unlike images, text does not ...
Humans Pattern Recognition, Automated Touch Touch Perception Neural Networks, Computer Algorithms
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Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism.

IEEE transactions on haptics Mar 21, 2025
Currently, most tactile-based object recognition algorithms focus on single shape or texture recognition. However, these single attribute-based recognition methods perform poorly when dealing with objects with similar shape or texture characteristics...
Humans Neural Networks, Computer Algorithms Attention Pattern Recognition, Automated Touch Touch Perception
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Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study.

JMIR formative research Mar 18, 2025
BACKGROUND: Recent advancements in rehabilitation sciences have progressively used computational techniques to improve diagnostic and treatment approaches. However, the analysis of high-dimensional, time-dependent data continues to pose a significant...
Machine Learning Prospective Studies Female Humans Biomechanical Phenomena Cluster Analysis Aged Male Knee Joint Adult Middle Aged Pattern Recognition, Automated Physical Therapy Modalities
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Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2025
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chro...
Adult Electromyography Middle Aged Biomechanical Phenomena Survivors Stroke Robotics Algorithms Wearable Electronic Devices Male Stroke Rehabilitation Feasibility Studies Female Muscle, Skeletal Discriminant Analysis Aged Arm Humans Pattern Recognition, Automated Machine Learning Movement
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Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion.

Sensors (Basel, Switzerland) Mar 4, 2025
Recognizing human activities from motion data is a complex task in computer vision, involving the recognition of human behaviors from sequences of 3D motion data. These activities encompass successive body part movements, interactions with objects, o...
Pattern Recognition, Automated Humans Human Activities Neural Networks, Computer Skeleton Generative Adversarial Networks Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Novelty Recognition: Fish Species Classification via Open-Set Recognition.

Sensors (Basel, Switzerland) Mar 4, 2025
To support the sustainable use of marine resources, regulations have been proposed to reduce fish discards focusing on the registration of all listed species. To comply with such regulations, computer vision methods have been developed. Nevertheless,...
Support Vector Machine Fishes Pattern Recognition, Automated Algorithms Animals
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DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.

IEEE transactions on neural networks and learning systems Feb 28, 2025
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL. The MDER aims to identify the emotional infor...
Algorithms Deep Learning Convolutional Neural Networks Emotions Semantics Pattern Recognition, Automated Humans Neural Networks, Computer
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Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Human activity recognition (HAR) is a popular research field in computer vision that has already been widely studied. However, it is still an active research field since it plays an important role in many current and emerging real-world intelligent s...
Deep Learning Pattern Recognition, Automated Human Activities Humans Neural Networks, Computer Reinforcement, Psychology Reinforcement Machine Learning
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Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning.

Sensors (Basel, Switzerland) Feb 27, 2025
This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. Through the combination of residual learnin...
Pattern Recognition, Automated Gestures Signal Processing, Computer-Assisted Humans Algorithms Deep Learning
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Convolutional neural network for gesture recognition human-computer interaction system design.

PloS one Feb 19, 2025
Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. Addressing the challenge posed by the insufficient feature extractio...
Gestures Neural Networks, Computer Humans User-Computer Interface Algorithms Convolutional Neural Networks Pattern Recognition, Automated
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