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Integrating Artificial Intelligence and Heterogeneous Sources in Smart Environments Part 2: A Case Study

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Ambient Intelligence – Software and Applications – 15th International Symposium on Ambient Intelligence (ISAmI 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1279))

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Abstract

Building on the first part of this work in the area of smart home monitoring, this second part presents a case study of the comprehensive architecture designed to identify anomalous events and issue alerts in smart home environments. Leveraging advances in artificial intelligence and heterogeneous data sources, the architecture addresses the critical need for real-time monitoring and response systems, particularly for vulnerable individuals such as the elderly living alone. The architecture includes various components, including data input handlers, event recognizers, analyzers, and communication channels, to provide a holistic home monitoring solution. To validate the adaptability and robustness of the architecture, the actions of an elderly person in their daily home life and potential events requiring attention when living alone are considered, focusing on scenarios involving potential health emergencies and unusual activities. The evaluation of the architecture spans different hardware configurations, demonstrating its scalability, stability, and efficient response times in different environments.

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Acknowledgments

Grant PID2023-149753OB-C21 funded by Spanish MCIU/ AEI/10.13039/5011 00011033/ERDF, EU. Grant PID2020-115220RB-C21 funded by Spanish MCIN/AEI/10.13039/501100011033 and by “ERDF A way to make Europe”. Grant 2022-GRIN-34436 funded by Universidad de Castilla-La Mancha and by “ERDF A way to make Europe”.

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Authors and Affiliations

  1. Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, Calle de la Investigación 2, Albacete, Spain

    Gabriel Rojas-Albarracín, María T. López & Antonio Fernández-Caballero

  2. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Avenida de España s/n, Albacete, Spain

    María T. López & Antonio Fernández-Caballero

Authors
  1. Gabriel Rojas-Albarracín
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  2. María T. López
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  3. Antonio Fernández-Caballero
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Corresponding author

Correspondence to Antonio Fernández-Caballero .

Editor information

Editors and Affiliations

  1. Universidade do Minho, Braga, Portugal

    Paulo Novais

  2. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    Parameshachari B. D.

  3. National Institute of Informatics, Chiyoda, Japan

    Ichiro Satoh

  4. Universidad Politecnica de Valencia, Valencia, Spain

    Vicente Julian Inglada

  5. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

    Sara Rodríguez González

  6. University of A Coruña, Ferrol, La Coruña, Spain

    Esteban Jove Pérez

  7. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Salamanca, Spain

    Javier Parra Domínguez

  8. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

    Pablo Chamoso

  9. C/ Santiago Madrigal s/n, AIR Institute, Salamanca, Spain

    Ricardo S. Alonso

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Rojas-Albarracín, G., López, M.T., Fernández-Caballero, A. (2025). Integrating Artificial Intelligence and Heterogeneous Sources in Smart Environments Part 2: A Case Study. In: Novais, P., et al. Ambient Intelligence – Software and Applications – 15th International Symposium on Ambient Intelligence. ISAmI 2024. Lecture Notes in Networks and Systems, vol 1279. Springer, Cham. https://doi.org/10.1007/978-3-031-83117-1_22

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