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Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing
With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people especially the students who are of relative weak physique...
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PMHE: a wearable medical sensor assisted framework for health care based on blockchain and privacy computing
Nowadays, smart medical cloud platforms have become a new direction in the industry. However, because the medical system involves personal...
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FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring
Wearable health monitoring is a crucial technical tool that offers early warning for chronic diseases due to its superior portability and low power...
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A real-time wearable AR system for egocentric vision on the edge
Real-time performance is critical for Augmented Reality (AR) systems as it directly affects responsiveness and enables the timely rendering of...
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Containerized Wearable Edge AI Inference Framework in Mobile Health Systems
The proliferation of wearable devices and personal smartphones has promoted smart mobile health (MH) technologies. The MH applications and services...
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An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies
The growing elderly population in smart home environments necessitates increased remote medical support and frequent doctor visits. To address this...
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Wearable Sensors and Pervasive Computing for Remote Healthcare
Technology has become an integral and vital part of modern life, influencing the way we all live and work. With the increasing demand for automated,...
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A systematic evaluation of an RTK-GPS device for wearable augmented reality
Global Positioning Satellite (GPS) systems sample points on the Earth’s surface with meter accuracy. Real-Time Kinematic (RTK) devices improve GPS...
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A multi-graph convolutional network based wearable human activity recognition method using multi-sensors
Wearable human activity recognition (WHAR) using multi-sensors is a promising research area in ubiquitous and wearable computing. Existing WHAR...
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ULIC: Ultra Lightweight Image Coder on Wearable Devices
Visual display-equipped wearable devices desire efficient-yet-fast image compression methods for pervasive visual computing. However, block-based...
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Secured SDN Based Task Scheduling in Edge Computing for Smart City Health Monitoring Operation Management System
Health monitoring systems (HMS) with wearable IoT devices are constantly being developed and improved. But most of these gadgets have limited energy...
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Stress monitoring using wearable sensors: IoT techniques in medical field
The concept “Internet of Things” (IoT), which facilitates communication between linked devices, is relatively new. It refers to the next generation...
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VMD based wavelet hybrid denoising and improved FBCCA algorithm: a new technique for wearable SSVEP recognition
The brain-computer interface based on steady-state visual evoked potential (SSVEP) has gained increasing attention due to its non-invasiveness, low...
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Computing offloading and resource scheduling based on DDPG in ultra-dense edge computing networks
To address the current challenge of smart devices in healthcare Internet of things (IoT) struggling to efficiently process intensive applications in...
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Early detection and prediction of Heart Disease using Wearable devices and Deep Learning algorithms
In this paper, we propose a multimodal deep learning algorithm that combines convolutional neural networks (CNNs) and long short-term memory (LSTM)...
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A classification-based sensor data processing method for the internet of things assimilated wearable sensor technology
Internet of Things (IoT) based wearable healthcare data monitoring is an emerging application of smart medicines. IoT-based communication and...
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Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods
Nowadays, data syncing before switchover and migration are two of the most pressing issues confronting cloud-based architecture. The requirement for...
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Edge Computing with Fog-cloud for Heart Data Processing using Particle Swarm Optimized Deep Learning Technique
Chronic illnesses such as heart disease, diabetes, cancer, and respiratory diseases are complex and pose a significant threat to global health....
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Towards a wearable education: Understanding the determinants affecting students’ adoption of wearable technologies using machine learning algorithms
The emergence of wearable technologies, including smartwatches, has received a considerable attention from scholars across several sectors. However,...
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Integration of a Lightweight Customized 2D CNN Model to an Edge Computing System for Real-Time Multiple Gesture Recognition
The human-machine interface (HMI) collects electrophysiology signals incoming from the patient and utilizes them to operate the device. However, most...