MEMS and AI for the recognition of human activities on IoT platforms

Luigi Bibbo, Massimo Merenda, Riccardo Carotenuto, Vincenzo Francesco Romeo, Francesco Della Corte

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

The increase in the elderly population has led to the need for new medical, social, and care services, resulting in a significant rise in health costs and the number of health workers involved. For example, IoT (Internet of Things) and wearable technologies can help contain healthcare spending and enable better living conditions of elderly. Moreover, nanotechnologies such as MEMS (micro-electromechanical system) that offer the advantage of small size, negligible need for power and motion acquisition are of considerable benefit. These technologies are able to detect and signal dangerous situations in order to ensure immediate action. In this article, we present an implementation of an IoT application on a latest-generation microcontroller. Kinematics and environmental data are transferred to a CNN (Convolutional Neural Network) to recognize the daily activities of the elderly in their homes or nursing homes. Finally, to determine the position of subjects, we associate the prototype with a positioning system on the ultrasonic platform. Finally, applying the Edge Machine Learning technique, we developed an application on the STM32L475VG microprocessor on which motion acquisition and activity recognition functions are activated.
OriginalspracheEnglisch
TitelAII 2022: Applied Intelligence and Informatics
Redakteure/-innenMufti Mahmud, Cosimo Ieracitano, M. Shamim Kaiser, Nadia Mammone, Francesco Carlo Morabito
Herausgeber (Verlag)Springer
Seiten73-89
Seitenumfang17
Band1724
ISBN (elektronisch)978-3-031-24801-6
DOIs
PublikationsstatusVeröffentlicht - 2023
VeranstaltungInternational Conference on Applied Intelligence and Informatics - Reggio Calabria, Italien
Dauer: 1 Sept. 20223 Sept. 2022

Publikationsreihe

NameCommunications in Computer and Information Science
Band1724 CCIS

Konferenz

KonferenzInternational Conference on Applied Intelligence and Informatics
Land/GebietItalien
StadtReggio Calabria
Zeitraum1/09/223/09/22

Research Field

  • Ehemaliges Research Field - Societal Resilience & Security

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