An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets

OO Khalifa, A Roubleh, A Esgiar, M Abdelhaq… - Systems, 2022 - mdpi.com
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …

Human behavior deep recognition architecture for smart city applications in the 5G environment

C Dai, X Liu, J Lai, P Li, HC Chao - IEEE Network, 2019 - ieeexplore.ieee.org
Human behavior recognition (HBR), as a critical link for further intelligent and real-time smart
city application design, has attracted much more attention in recent years. Although the …

Internet‐of‐Things‐Based Suspicious Activity Recognition Using Multimodalities of Computer Vision for Smart City Security

A Rehman, T Saba, MZ Khan… - Security and …, 2022 - Wiley Online Library
Automatic human activity recognition is one of the milestones of smart city surveillance
projects. Human activity detection and recognition aim to identify the activities based on the …

A smartphone sensors-based personalized human activity recognition system for sustainable smart cities

AR Javed, R Faheem, M Asim, T Baker… - Sustainable Cities and …, 2021 - Elsevier
Abstract According to the Sustainable Development Agenda 2030 of the World Health
Organization, maintaining physical activities have multiple societal privileges for healthier …

A hybrid CNN–LSTM network for the classification of human activities based on micro-Doppler radar

J Zhu, H Chen, W Ye - Ieee Access, 2020 - ieeexplore.ieee.org
Many deep learning (DL) models have shown exceptional promise in radar-based human
activity recognition (HAR) area. For radar-based HAR, the raw data is generally converted …

Hybrid deep learning approaches for smartphone sensor-based human activity recognition

V Ghate - Multimedia Tools and Applications, 2021 - Springer
Abstract Human Activity Recognition (HAR) has become one of the most important research
fields to achieve real-time monitoring of human activities for timely decision making in …

[PDF][PDF] Intelligent Deep Learning Enabled Human Activity Recognition for Improved Medical Services.

E Dhiravidachelvi, MS Kumar, LDV Anand… - Comput. Syst. Sci …, 2023 - academia.edu
Human Activity Recognition (HAR) has been made simple in recent years, thanks to recent
advancements made in Artificial Intelligence (AI) techniques. These techniques are applied …

Industry 4.0-oriented deep learning models for human activity recognition

S Mohsen, A Elkaseer, SG Scholz - IEEE Access, 2021 - ieeexplore.ieee.org
According to the Industry 4.0 vision, humans in a smart factory, should be equipped with
formidable and seamless communication capabilities and integrated into a cyber-physical …

Human behavior recognition model based on improved EfficientNet

CY Luo, SY Cheng, H Xu, P Li - Procedia computer science, 2022 - Elsevier
With the continuous development of AI, human behavior recognition has a wide range of
applications in surveillance, smart medical care, smart furniture and so on. In order to solve …

A Deep Learning‐Based Framework for Human Activity Recognition in Smart Homes

A Mihoub - Mobile Information Systems, 2021 - Wiley Online Library
Human behavior modeling in smart environments is a growing research area treating
several challenges related to ubiquitous computing, pattern recognition, and ambient …