AIMC Topic: Human Activities

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Detection of human activities using multi-layer convolutional neural network.

Scientific reports Feb 27, 2025
Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and human-computer interaction. However, achieving high accuracy and robustness remains a challenge, particularly when dealing with noisy sensor data from ac...
Convolutional Neural Networks Human Activities Humans Neural Networks, Computer Algorithms
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Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures.

Computers in biology and medicine Feb 22, 2025
In Human Activity Recognition (HAR), understanding the intricacy of body movements within high-risk applications is essential. This study uses SHapley Additive exPlanations (SHAP) to explain the decision-making process of Graph Convolution Networks (...
Humans Neural Networks, Computer Databases, Factual Human Activities Cerebral Palsy Movement Female Male
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Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods.

Journal of environmental management Feb 15, 2025
With human activities-derived escalating climate change and rapid urbanization, avian species face significant survival challenges. Understanding the impact of human activities and environmental drivers on avian species richness is critical for effec...
Humans Machine Learning China Biodiversity Animals Birds Human Activities Climate Change Conservation of Natural Resources
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Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition.

Sensors (Basel, Switzerland) Feb 14, 2025
BACKGROUND: Human activity recognition (HAR) plays a pivotal role in digital healthcare, enabling applications such as exercise monitoring and elderly care. However, traditional HAR methods relying on accelerometer data often require complex preproce...
Humans Accelerometry Neural Networks, Computer Algorithms Human Activities Deep Learning
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Decision Fusion-Based Deep Learning for Channel State Information Channel-Aware Human Action Recognition.

Sensors (Basel, Switzerland) Feb 10, 2025
WiFi channel state information (CSI) has emerged as a promising modality for human action recognition due to its non-invasive nature and robustness in diverse environments. However, most existing methods process CSI channels collectively, potentially...
Human Activities Algorithms Deep Learning Humans Neural Networks, Computer
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Innovative Dual-Decoupling CNN With Layer-Wise Temporal-Spatial Attention for Sensor-Based Human Activity Recognition.

IEEE journal of biomedical and health informatics Feb 10, 2025
Human Activity Recognition (HAR) is essential for monitoring and analyzing human behavior, particularly in health applications such as fall detection and chronic disease management. Traditional methods, even those incorporating attention mechanisms, ...
Human Activities Neural Networks, Computer Humans Signal Processing, Computer-Assisted Algorithms Monitoring, Ambulatory
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CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called ...
Neural Networks, Computer Algorithms Wearable Electronic Devices Supervised Machine Learning Unsupervised Machine Learning Pattern Recognition, Automated Humans Human Activities
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Federated Learning for IoMT-Enhanced Human Activity Recognition with Hybrid LSTM-GRU Networks.

Sensors (Basel, Switzerland) Feb 3, 2025
The proliferation of wearable sensors and mobile devices has fueled advancements in human activity recognition (HAR), with growing importance placed on both accuracy and privacy preservation. In this paper, the author proposes a federated learning fr...
Federated Learning Internet of Things Human Activities Wearable Electronic Devices Privacy Humans Machine Learning Neural Networks, Computer Algorithms
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CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement.

Sensors (Basel, Switzerland) Feb 1, 2025
Human activity recognition (HAR) has become a crucial research area for many applications, such as Healthcare, surveillance, etc. With the development of artificial intelligence (AI) and Internet of Things (IoT), sensor-based HAR has gained increasin...
Algorithms Human Activities Humans Artificial Intelligence Machine Learning
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A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition.

Scientific reports Jan 31, 2025
Human Activity Recognition plays a vital role in various fields, such as healthcare and smart environments. Traditional HAR methods rely on sensor or video data, but sensor-based systems have gained popularity due to their non-intrusive nature. Curre...
Human Activities Algorithms Humans Neural Networks, Computer Attention
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