AIMC Topic: Pattern Recognition, Automated

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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...
Discriminant Analysis Electromyography Adult Stroke Biomechanical Phenomena Muscle, Skeletal Male Robotics Middle Aged Algorithms Movement Wearable Electronic Devices Female Feasibility Studies Survivors Aged Arm Stroke Rehabilitation Humans Pattern Recognition, Automated Machine Learning
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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 Human Activities Skeleton Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Generative Adversarial Networks Neural Networks, Computer Algorithms
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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...
Humans Convolutional Neural Networks Emotions Semantics Neural Networks, Computer Algorithms Deep Learning Pattern Recognition, Automated
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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...
Human Activities Neural Networks, Computer Reinforcement, Psychology Humans Deep Learning Pattern Recognition, Automated 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...
Signal Processing, Computer-Assisted Pattern Recognition, Automated Humans Algorithms Deep Learning Gestures
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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...
User-Computer Interface Pattern Recognition, Automated Algorithms Convolutional Neural Networks Gestures Humans Neural Networks, Computer
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning.

Sensors (Basel, Switzerland) Feb 13, 2025
Causal machine learning is an approach that combines causal inference and machine learning to understand and utilize causal relationships in data. In current research and applications, traditional machine learning and deep learning models always focu...
Algorithms Gestures Principal Component Analysis Hand Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

PloS one Feb 13, 2025
This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...
Humans Machine Learning Computer Simulation Biomechanical Phenomena Pattern Recognition, Automated Track and Field Random Forest Convolutional Neural Networks Running Support Vector Machine Athletes
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Intervening on few-shot object detection based on the front-door criterion.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2025
Most few-shot object detection methods aim to utilize the learned generalizable knowledge from base categories to identify instances of novel categories. The fundamental assumption of these approaches is that the model can acquire sufficient transfer...
Algorithms Pattern Recognition, Automated Humans Neural Networks, Computer
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