Human activity recognition in artificial intelligence framework: a narrative review

N Gupta, SK Gupta, RK Pathak, V Jain… - Artificial intelligence …, 2022 - Springer
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

Sensor-based and vision-based human activity recognition: A comprehensive survey

LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon - Pattern Recognition, 2020 - Elsevier
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

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 …

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in biology and …, 2022 - Elsevier
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

Intelligent video caching at network edge: A multi-agent deep reinforcement learning approach

F Wang, F Wang, J Liu, R Shea… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Today's explosively growing Internet video traffics and viewers' ever-increasing quality of
experience (QoE) demands for video streaming bring tremendous pressures to the …

Learning-based resource allocation for backscatter-aided vehicular networks

WU Khan, TN Nguyen, F Jameel… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …

Deep learning for radio-based human sensing: Recent advances and future directions

I Nirmal, A Khamis, M Hassan, W Hu… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …

Interpretable passive multi-modal sensor fusion for human identification and activity recognition

L Yuan, J Andrews, H Mu, A Vakil, R Ewing, E Blasch… - Sensors, 2022 - mdpi.com
Human monitoring applications in indoor environments depend on accurate human
identification and activity recognition (HIAR). Single modality sensor systems have shown to …

Reliable resource allocation with RF fingerprinting authentication in secure IoT networks

W Wu, S Hu, D Lin, G Wu - Science China Information Sciences, 2022 - Springer
The unprecedented growth of the Internet of Things (IoT) has led to a huge amount of
wireless resource consumption in a network. Due to limited wireless resources, a network …

Multi-adversarial in-car activity recognition using RFIDs

F Wang, J Liu, W Gong - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In-car human activity recognition opens a new opportunity toward intelligent driving behavior
detection and touchless human-car interaction. Among the many sensing technologies (eg …