A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Cross-domain wifi sensing with channel state information: A survey

C Chen, G Zhou, Y Lin - ACM Computing Surveys, 2023 - dl.acm.org
The past years have witnessed the rapid conceptualization and development of wireless
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …

Green edge AI: A contemporary survey

Y Mao, X Yu, K Huang, YJA Zhang… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

Human activity recognition using marine predators algorithm with deep learning

AM Helmi, MAA Al-qaness, A Dahou… - Future Generation …, 2023 - Elsevier
In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …

A CSI-based human activity recognition using deep learning

PF Moshiri, R Shahbazian, M Nabati, SA Ghorashi - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) has become quite popular due to advancements in Information
and Communications technologies and has revolutionized the entire research area in …

A comprehensive survey on deep learning methods in human activity recognition

M Kaseris, I Kostavelis, S Malassiotis - Machine Learning and Knowledge …, 2024 - mdpi.com
Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …

An adaptive batch size-based-CNN-LSTM framework for human activity recognition in uncontrolled environment

NA Choudhury, B Soni - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a process of identifying the daily living activities of an
individual using a set of sensors and appropriate learning algorithms. Most of the works on …

Vision transformers for human activity recognition using WiFi channel state information

F Luo, S Khan, B Jiang, K Wu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Wireless sensing and communication evolved separately in the past. However, integrated
sensing and communication (ISAC) unlocks a new era of mobile network capabilities, with …

MLCNNwav: Multilevel convolutional neural network with wavelet transformations for sensor-based human activity recognition

A Dahou, MAA Al-Qaness… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a rapidly growing field of research that aims to
automatically identify and classify human motions and activities from different tracking …

Three-dimensional indoor localization and tracking for mobile target based on WiFi sensing

J Ding, Y Wang, H Si, S Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the prevalence of commodity WiFi devices and development of the Internet of Things
(IoT), the usage of WiFi has been extended from communication to context aware. Based on …