Autonomous devices equipped with custom sensors represent an important advancement in elderly monitoring and assistance, offering significant potential to enhance quality of life for aging populations. In this publication, we present a comprehensive approach integrating advanced sensor technologies with yottabyte-scale data solutions, aimed at creating robust, reliable, and scalable systems for continuous monitoring and support. The proposed framework leverages state-of-the-art data processing techniques to ensure real-time responsiveness while maintaining data privacy and security. Through practical case studies and experimental setups, we demonstrate the efficacy of our system in improving mobility, health monitoring, and emergency response for elderly individuals. Our findings indicate that the integration of custom sensor networks with scalable data infrastructure can markedly reduce risks and enhance daily living conditions. This work contributes to the field of gerontechnology by providing insights into the design, implementation, and practical applications of autonomous assistance systems.

Autonomous Devices for Elderly Monitoring and Assistance: Enhancing Quality of Life with Custom Sensors and Yottabyte-Scale Solutions / D'Alvia, L.; Napoli, C.; Del Prete, Z.. - (2025), pp. 61-72. - SPRINGERBRIEFS IN APPLIED SCIENCES AND TECHNOLOGY. [10.1007/978-3-031-95735-2_7].

Autonomous Devices for Elderly Monitoring and Assistance: Enhancing Quality of Life with Custom Sensors and Yottabyte-Scale Solutions

D'Alvia L.
;
Napoli C.
;
Del Prete Z.
2025

Abstract

Autonomous devices equipped with custom sensors represent an important advancement in elderly monitoring and assistance, offering significant potential to enhance quality of life for aging populations. In this publication, we present a comprehensive approach integrating advanced sensor technologies with yottabyte-scale data solutions, aimed at creating robust, reliable, and scalable systems for continuous monitoring and support. The proposed framework leverages state-of-the-art data processing techniques to ensure real-time responsiveness while maintaining data privacy and security. Through practical case studies and experimental setups, we demonstrate the efficacy of our system in improving mobility, health monitoring, and emergency response for elderly individuals. Our findings indicate that the integration of custom sensor networks with scalable data infrastructure can markedly reduce risks and enhance daily living conditions. This work contributes to the field of gerontechnology by providing insights into the design, implementation, and practical applications of autonomous assistance systems.
2025
Habitable Future Smart Spaces, Objects, and Devices to Support Aging
9783031957345
9783031957352
Artificial intelligence; Biometrics; Personal sensor networks; Remote healthcare; Signal processing
02 Pubblicazione su volume::02a Capitolo o Articolo
Autonomous Devices for Elderly Monitoring and Assistance: Enhancing Quality of Life with Custom Sensors and Yottabyte-Scale Solutions / D'Alvia, L.; Napoli, C.; Del Prete, Z.. - (2025), pp. 61-72. - SPRINGERBRIEFS IN APPLIED SCIENCES AND TECHNOLOGY. [10.1007/978-3-031-95735-2_7].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1744537
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