AIMC Topic: Human Activities

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Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step.

Sensors (Basel, Switzerland) Jul 13, 2024
The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably ...
Male Exercise Female Adult Human Activities Wearable Electronic Devices Accelerometry Humans Neural Networks, Computer
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System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels.

Sensors (Basel, Switzerland) Jul 12, 2024
Activity recognition combined with artificial intelligence is a vital area of research, ranging across diverse domains, from sports and healthcare to smart homes. In the industrial domain, and the manual assembly lines, the emphasis shifts to human-m...
Humans Human Activities Artificial Intelligence Algorithms
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Versatile Graph Neural Networks Toward Intuitive Human Activity Understanding.

IEEE transactions on neural networks and learning systems Jul 8, 2024
Benefiting from the advanced human visual system, humans naturally classify activities and predict motions in a short time. However, most existing computer vision studies consider those two tasks separately, resulting in an insufficient understanding...
Humans Neural Networks, Computer Pattern Recognition, Automated Human Activities Machine Learning Algorithms
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Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation.

IEEE journal of biomedical and health informatics Jul 2, 2024
Wearable sensors provide a more effective means of activity monitoring and management by recording patients' daily activity data for assessing their daily function and rehabilitation progress, as well as providing a convenient and practical solution ...
Human Activities Stroke Rehabilitation Algorithms Humans Deep Learning Wearable Electronic Devices Internet of Things
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Using Graphs to Perform Effective Sensor-Based Human Activity Recognition in Smart Homes.

Sensors (Basel, Switzerland) Jun 18, 2024
There has been a resurgence of applications focused on human activity recognition (HAR) in smart homes, especially in the field of ambient intelligence and assisted-living technologies. However, such applications present numerous significant challeng...
Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated Human Activities
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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...
Walking Pattern Recognition, Automated Activities of Daily Living Machine Learning Humans Human Activities Algorithms
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Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms.

Sensors (Basel, Switzerland) Jun 15, 2024
Human Activity Recognition (HAR) plays an important role in the automation of various tasks related to activity tracking in such areas as healthcare and eldercare (telerehabilitation, telemonitoring), security, ergonomics, entertainment (fitness, spo...
Telemedicine Human Activities Algorithms Exercise Humans Neural Networks, Computer
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Multiscale knowledge distillation with attention based fusion for robust human activity recognition.

Scientific reports May 30, 2024
Knowledge distillation is an effective approach for training robust multi-modal machine learning models when synchronous multimodal data are unavailable. However, traditional knowledge distillation techniques have limitations in comprehensively trans...
Machine Learning Algorithms Attention Humans Human Activities Neural Networks, Computer
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Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones.

Sensors (Basel, Switzerland) May 24, 2024
Composite indoor human activity recognition is very important in elderly health monitoring and is more difficult than identifying individual human movements. This article proposes a sensor-based human indoor activity recognition method that integrate...
Smartphone Neural Networks, Computer Accelerometry Humans Algorithms Human Activities Monitoring, Physiologic
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Critical Analysis of Data Leakage in WiFi CSI-Based Human Action Recognition Using CNNs.

Sensors (Basel, Switzerland) May 16, 2024
WiFi Channel State Information (CSI)-based human action recognition using convolutional neural networks (CNNs) has emerged as a promising approach for non-intrusive activity monitoring. However, the integrity and reliability of the reported performan...
Human Activities Humans Wireless Technology Neural Networks, Computer Algorithms Reproducibility of Results
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