Future Outdoor Safety Monitoring: Integrating Human Activity Recognition with the Internet of Physical–Virtual Things DOI Creative Commons
Yu Chen, Jia Li, Erik Blasch

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3434 - 3434

Опубликована: Март 21, 2025

The convergence of the Internet Physical–Virtual Things (IoPVT) and Metaverse presents a transformative opportunity for safety health monitoring in outdoor environments. This concept paper explores how integrating human activity recognition (HAR) with IoPVT within can revolutionize public safety, particularly urban settings challenging climates architectures. By seamlessly blending physical sensor networks immersive virtual environments, highlights future where real-time data collection, digital twin modeling, advanced analytics, predictive planning proactively enhance well-being. Specifically, three dimensions humans, technology, environment interact toward measuring health, climate. Three cultural scenarios showcase to utilize HAR–IoPVT sensors external staircases, rural climate, coastal infrastructure. Advanced algorithms analytics would identify potential hazards, enabling timely interventions reducing accidents. also societal benefits, such as proactive monitoring, enhanced emergency response, contributions smart city initiatives. Additionally, we address challenges research directions necessary realize this future, emphasizing AI technical scalability, ethical considerations, importance interdisciplinary collaboration designs policies. articulating an AI-driven HAR vision along required advancements edge-based fusion, responsiveness fog computing, social through cloud aim inspire academic community, industry stakeholders, policymakers collaborate shaping technology profoundly improves enhances enriches quality life.

Язык: Английский

6G Wireless Communications and Artificial Intelligence-Controlled Reconfigurable Intelligent Surfaces: From Supervised to Federated Learning DOI Creative Commons

Evangelos A. Zaoutis,

G. Liodakis,

Anargyros T. Baklezos

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3252 - 3252

Опубликована: Март 17, 2025

The new generation of wireless communication technologies is already in development. Sixth Generation (6G) mobile communications are designed to push the limits for more bandwidth, connected devices with minimal power requirements, and better signal quality. Previous used Fifth (5G) inadequate handle requirements alone. One proposed solutions use Reconfigurable Intelligent Surfaces (RISs). These surfaces, when combined Artificial Intelligence (AI), may be a very powerful means achieving this. In this paper, we review studies that focus on RISs controlled by AI determining concept Smart Radio Environment (SRE) 6G networks. We examine applications span from Supervised Federated Learning (FL) as enabled rise Edge Computing. As expected have enhanced capabilities perform computing locally, thus reducing need transfer data central hub, opportunities created extensive FL. context, research FL RIS-aided SRE.

Язык: Английский

Процитировано

0
Future Outdoor Safety Monitoring: Integrating Human Activity Recognition with the Internet of Physical–Virtual Things DOI Creative Commons
Yu Chen, Jia Li, Erik Blasch

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3434 - 3434

Опубликована: Март 21, 2025

The convergence of the Internet Physical–Virtual Things (IoPVT) and Metaverse presents a transformative opportunity for safety health monitoring in outdoor environments. This concept paper explores how integrating human activity recognition (HAR) with IoPVT within can revolutionize public safety, particularly urban settings challenging climates architectures. By seamlessly blending physical sensor networks immersive virtual environments, highlights future where real-time data collection, digital twin modeling, advanced analytics, predictive planning proactively enhance well-being. Specifically, three dimensions humans, technology, environment interact toward measuring health, climate. Three cultural scenarios showcase to utilize HAR–IoPVT sensors external staircases, rural climate, coastal infrastructure. Advanced algorithms analytics would identify potential hazards, enabling timely interventions reducing accidents. also societal benefits, such as proactive monitoring, enhanced emergency response, contributions smart city initiatives. Additionally, we address challenges research directions necessary realize this future, emphasizing AI technical scalability, ethical considerations, importance interdisciplinary collaboration designs policies. articulating an AI-driven HAR vision along required advancements edge-based fusion, responsiveness fog computing, social through cloud aim inspire academic community, industry stakeholders, policymakers collaborate shaping technology profoundly improves enhances enriches quality life.

Язык: Английский

Процитировано

0