A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities

S Baker, W Xiang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Human activity recognition based on multienvironment sensor data

Y Li, G Yang, Z Su, S Li, Y Wang - Information Fusion, 2023 - Elsevier
With the development of artificial intelligence and the broad application of sensors, human
activity recognition (HAR) technologies based on noninvasive environmental sensors have …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population

G Cicirelli, R Marani, A Petitti, A Milella, T D'Orazio - Sensors, 2021 - mdpi.com
Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …

A cybertwin based multimodal network for ecg patterns monitoring using deep learning

W Qi, H Su - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
In next-generation network architecture, the Cybertwin drove the sixth generation of cellular
networks sixth-generation (6G) to play an active role in many applications, such as …

Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management

MA Mujawar, H Gohel, SK Bhardwaj… - Materials Today …, 2020 - Elsevier
Biosensors are emerging as efficient (sensitive and selective) and affordable analytical
diagnostic tools for early-stage disease detection, as required for personalized health …

Attention induced multi-head convolutional neural network for human activity recognition

ZN Khan, J Ahmad - Applied soft computing, 2021 - Elsevier
Deep neural networks, including convolutional neural networks (CNNs), have been widely
adopted for human activity recognition in recent years. They have attained significant …

Human activity recognition in IoHT applications using arithmetic optimization algorithm and deep learning

A Dahou, MAA Al-qaness, M Abd Elaziz, A Helmi - Measurement, 2022 - Elsevier
Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …

2D federated learning for personalized human activity recognition in cyber-physical-social systems

X Zhou, W Liang, J Ma, Z Yan, I Kevin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …