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Authors: David Díaz-Jiménez 1 ; Francisco Mata-Mata 1 ; José L. López 1 ; Luis G. Pérez-Cordón 1 ; José-María Serrano 1 ; Carmen Martínez-Cruz 2 ; Juana M. Morcillo-Martínez 3 ; Ángeles Verdejo-Espinosa 4 ; Juan C. Cuevas-Martínez 5 ; Raquel Viciana-Abad 5 ; Pedro J. Reche-López 5 ; José M. Pérez-Lorenzo 5 ; Juan F. Gaitán-Guerrero 1 and Macarena Espinilla 1

Affiliations: 1 Department of Computer Science, University of Jaén, 23071, Jaén, Spain ; 2 Department of Languages and Computer Systems, University of Granada, 18071, Granada, Spain ; 3 Psycology Department, Faculty of Social Work, University of Jaén, 23071 Jaén, Spain ; 4 Electrical Engineering Department, University of Jaén, 23071 Jaén, Spain ; 5 Telecommunication Engineering Department, University of Jaén, 23071 Jaén, Spain

Keyword(s): Human Activity Recognition, Data Labeling, Healthcare Monitoring, Internet of Things, Artificial Intelligence, Personalized Care, Nursing Home Monitoring.

Abstract: This paper presents StreamTag, a platform designed for the efficient management of labeled data in healthcare environments, particularly for activity recognition systems in residential and nursing home settings. Human Activity Recognition (HAR) is crucial for monitoring patient behaviors and supporting personalized care, and this field has evolved significantly with advances in IoT and AI. StreamTag integrates a flexible data labeling structure and a modular architecture, enabling data collection, labeling, and secure management of activity data. The system leverages non-relational databases for scalable data handling, along with secure protocols to ensure data integrity and privacy. This work examines existing approaches in HAR, including data-driven, knowledge-based, and hybrid models, and situates StreamTag as a versatile solution that combines flexible user-controlled labeling with high adaptability for diverse healthcare contexts. Future directions are suggested for enhancing sy stem functionality and integration with more advanced analytical tools. (More)

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Paper citation in several formats:
Díaz-Jiménez, D., Mata-Mata, F., López, J. L., Pérez-Cordón, L. G., Serrano, J.-M., Martínez-Cruz, C., Morcillo-Martínez, J. M., Verdejo-Espinosa, Á., Cuevas-Martínez, J. C., Viciana-Abad, R., Reche-López, P. J., Pérez-Lorenzo, J. M., Gaitán-Guerrero, J. F. and Espinilla, M. (2025). StreamTag: A Platform for Flexible Tagged Data Management. In Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE; ISBN 978-989-758-743-6; ISSN 2184-4984, SciTePress, pages 233-239. DOI: 10.5220/0013278600003938

@conference{ict4awe25,
author={David Díaz{-}Jiménez and Francisco Mata{-}Mata and José L. López and Luis G. Pérez{-}Cordón and José{-}María Serrano and Carmen Martínez{-}Cruz and Juana M. Morcillo{-}Martínez and Ángeles Verdejo{-}Espinosa and Juan C. Cuevas{-}Martínez and Raquel Viciana{-}Abad and Pedro J. Reche{-}López and José M. Pérez{-}Lorenzo and Juan F. Gaitán{-}Guerrero and Macarena Espinilla},
title={StreamTag: A Platform for Flexible Tagged Data Management},
booktitle={Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE},
year={2025},
pages={233-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013278600003938},
isbn={978-989-758-743-6},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE
TI - StreamTag: A Platform for Flexible Tagged Data Management
SN - 978-989-758-743-6
IS - 2184-4984
AU - Díaz-Jiménez, D.
AU - Mata-Mata, F.
AU - López, J.
AU - Pérez-Cordón, L.
AU - Serrano, J.
AU - Martínez-Cruz, C.
AU - Morcillo-Martínez, J.
AU - Verdejo-Espinosa, Á.
AU - Cuevas-Martínez, J.
AU - Viciana-Abad, R.
AU - Reche-López, P.
AU - Pérez-Lorenzo, J.
AU - Gaitán-Guerrero, J.
AU - Espinilla, M.
PY - 2025
SP - 233
EP - 239
DO - 10.5220/0013278600003938
PB - SciTePress