AIMC Topic: Human Activities

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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...
Reinforcement Machine Learning Deep Learning Pattern Recognition, Automated Human Activities Reinforcement, Psychology Humans Neural Networks, Computer
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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...
Human Activities Algorithms Humans Convolutional Neural Networks Neural Networks, Computer
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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 (...
Cerebral Palsy Movement Human Activities Female Male Humans Neural Networks, Computer Databases, Factual
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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...
Climate Change Conservation of Natural Resources China Biodiversity Human Activities Humans Machine Learning Animals Birds
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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...
Human Activities Deep Learning Accelerometry Neural Networks, Computer Humans Algorithms
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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...
Humans Deep Learning Neural Networks, Computer Human Activities Algorithms
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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, ...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Humans Monitoring, Ambulatory Human Activities
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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 Supervised Machine Learning Humans Pattern Recognition, Automated Wearable Electronic Devices Human Activities Unsupervised Machine Learning
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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...
Humans Privacy Algorithms Neural Networks, Computer Human Activities Internet of Things Federated Learning Machine Learning Wearable Electronic Devices
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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 Artificial Intelligence Machine Learning Humans
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