Advanced IOT-Driven Human Activity Recognition and Real-Time Localization Using Deep Neural Networks: A Comprehensive Approach for Intelligent and Context-Aware Systems

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This is a Quantitative Study study.

M. Davidson Kamala Dhas; J. S. Leena Jasmine; R. Priscilla Joy; S. Manju

doi:10.1142/s0218194025500561

September 12, 2025International Journal of Software Engineering and Knowledge Engineering

Advanced IOT-Driven Human Activity Recognition and Real-Time Localization Using Deep Neural Networks: A Comprehensive Approach for Intelligent and Context-Aware Systems

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Key Points

The approach enhances real-time localization accuracy and human activity recognition efficiency using advanced deep learning techniques.
Key evidence shows significant improvements in activity recognition tasks, with deep neural networks outperforming traditional algorithms.
Utilizing a comprehensive methodology, the study combines IoT deployment with neural networks for effective activity recognition.
The findings highlight the potential for intelligent, context-aware systems to transform human-device interactions in various applications.

Implication

This research presents a method for real-time localization and activity recognition using IoT and deep neural networks, suggesting improved systems.

Abstract

International Journal of Software Engineering and Knowledge EngineeringAccepted Papers No AccessAdvanced IOT-Driven Human Activity Recognition and Real-Time Localization Using Deep Neural Networks: A Comprehensive Approach for Intelligent and Context-Aware SystemsM. Davidson Kamala Dhas, J. S. Leena Jasmine, R. Priscilla Joy, and S. ManjuM. Davidson Kamala Dhas, J. S. Leena Jasmine Search for more papers by this author , R. Priscilla Joy Search for more papers by this author , and S. Manju Search for more papers by this author https://doi.org/10.1142/S0218194025500561Cited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 11 April 2025 Accepted 16 August 2025 PDF download

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Cite This Study

Dhas et al. (2025) studied this question.

synapsesocial.com/papers/68d4605131b076d99fa5fd5a https://doi.org/10.1142/s0218194025500561

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Advanced IOT-Driven Human Activity Recognition and Real-Time Localization Using Deep Neural Networks: A Comprehensive Approach for Intelligent and Context-Aware Systems

Key Points

Implication

Abstract

Discussion

Cite This Study

Advanced IOT-Driven Human Activity Recognition and Real-Time Localization Using Deep Neural Networks: A Comprehensive Approach for Intelligent and Context-Aware Systems

Key Points

Implication

Abstract

Discussion

Cite This Study

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