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 …

Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions

P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

Cyber-physical system security based on human activity recognition through IoT cloud computing

S Achar, N Faruqui, M Whaiduzzaman, A Awajan… - Electronics, 2023 - mdpi.com
Cyber-physical security is vital for protecting key computing infrastructure against cyber
attacks. Individuals, corporations, and society can all suffer considerable digital asset losses …

Attention-based hybrid deep learning network for human activity recognition using WiFi channel state information

S Mekruksavanich, W Phaphan, N Hnoohom… - Applied Sciences, 2023 - mdpi.com
The recognition of human movements is a crucial aspect of AI-related research fields.
Although methods using vision and sensors provide more valuable data, they come at the …

Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events

KE Ong, XL Ng, Y Li, W Ai, K Zhao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Understanding and analyzing human behaviors (actions and interactions of people), voices,
and sounds in chaotic events is crucial in many applications, eg, crowd management …

A novel front door security (FDS) algorithm using GoogleNet-BiLSTM hybridization

LPO Paula, N Faruqui, I Mahmud… - IEEE …, 2023 - ieeexplore.ieee.org
Security has always been a significant concern since the dawn of human civilization. That is
why we build houses to keep ourselves and our belongings safe. And we do not hesitate to …

Energy savings in buildings based on image depth sensors for human activity recognition

O Mata, JI Méndez, P Ponce, T Peffer, A Meier… - Energies, 2023 - mdpi.com
A smart city is a city that binds together technology, society, and government to enable the
existence of a smart economy, smart mobility, smart environment, smart living, smart people …

Suspicious actions detection system using enhanced CNN and surveillance video

E Selvi, M Adimoolam, G Karthi, K Thinakaran… - Electronics, 2022 - mdpi.com
Suspicious pre-and post-activity detection in crowded places is essential as many
suspicious activities may be carried out by culprits. Usually, there will be installations of …

[PDF][PDF] Efficient hybrid algorithm for human action recognition

MA Abdelrazik, A Zekry, WA Mohamed - Journal of Image and Graphics, 2023 - joig.net
Recently, researchers have sought to find the ideal way to recognize human actions through
video using artificial intelligence due to the multiplicity of applications that rely on it in many …

A review of abnormal behavior detection in activities of daily living

NC Tay, T Connie, TS Ong, ABJ Teoh, PS Teh - IEEE Access, 2023 - ieeexplore.ieee.org
Abnormal behavior detection (ABD) systems are built to automatically identify and recognize
abnormal behavior from various input data types, such as sensor-based and vision-based …