Title: An innovative AAL system based on neural networks and IoT-aware technologies to improve the quality of life in elderly people

Authors: Benito Taccardi; Piercosimo Rametta; Pierluigi Carcagnì; Marco Leo; Cosimo Distante; Luigi Patrono

Addresses: Department of Innovation Engineering, University of Salento, Lecce, Italy ' Department of Innovation Engineering, University of Salento, Lecce, Italy ' National Research Council of Italy (CNR), Lecce, Italy ' National Research Council of Italy (CNR), Lecce, Italy ' National Research Council of Italy (CNR), Lecce, Italy ' Department of Innovation Engineering, University of Salento, Lecce, Italy

Abstract: Nowadays more and more elderly people need support in daily activities. This is due to the increase of cognitive diseases and other conditions which lead the elderly to not being self-sufficient. Considering this, providing an Ambient Assisted Living system could improve significantly people life quality and could support caregivers' tasks. The combination of Ambient Assisted Living systems and information and communication technologies achieve this purpose perfectly. They exploit internet of things and artificial intelligence paradigms to make daily challenges easier for people with neurodegenerative diseases. This work melds technologies mentioned above providing a smart system for elderly to manage goods and fill in shopping lists. It was possible using software, hardware, and cloud systems combined with a neural network aimed to recognise products. The proposed system has been validated both from a functional point of view through a proof-of-concept and quantitatively by a performance analysis of its components.

Keywords: Ambient Assisted Living; AAL; internet of things; IoT; neural network.

DOI: 10.1504/IJISTA.2020.112442

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.6, pp.589 - 617

Received: 13 Aug 2019
Accepted: 01 Jul 2020
Published online: 15 Jan 2021 *

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