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Smart Cupboard for Assessing Memory in Home Environment

Sensor systems for the Internet of Things (IoT) make it possible to continuously monitor people, gathering information without any extra effort from them. Thus, the IoT can be very helpful in the context of early disease detection, which can improve peoples’ quality of life by applying the right tre...

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Autores principales: González-Landero, Franks, García-Magariño, Iván, Amariglio, Rebecca, Lacuesta, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603783/
https://www.ncbi.nlm.nih.gov/pubmed/31167485
http://dx.doi.org/10.3390/s19112552
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author González-Landero, Franks
García-Magariño, Iván
Amariglio, Rebecca
Lacuesta, Raquel
author_facet González-Landero, Franks
García-Magariño, Iván
Amariglio, Rebecca
Lacuesta, Raquel
author_sort González-Landero, Franks
collection PubMed
description Sensor systems for the Internet of Things (IoT) make it possible to continuously monitor people, gathering information without any extra effort from them. Thus, the IoT can be very helpful in the context of early disease detection, which can improve peoples’ quality of life by applying the right treatment and measures at an early stage. This paper presents a new use of IoT sensor systems—we present a novel three-door smart cupboard that can measure the memory of a user, aiming at detecting potential memory losses. The smart cupboard has three sensors connected to a Raspberry Pi, whose aim is to detect which doors are opened. Inside of the Raspberry Pi, a Python script detects the openings of the doors, and classifies the events between attempts of finding something without success and the events of actually finding it, in order to measure the user’s memory concerning the objects’ locations (among the three compartments of the smart cupboard). The smart cupboard was assessed with 23 different users in a controlled environment. This smart cupboard was powered by an external battery. The memory assessments of the smart cupboard were compared with a validated test of memory assessment about face–name associations and a self-reported test about self-perceived memory. We found a significant correlation between the smart cupboard results and both memory measurement methods. Thus, we conclude that the proposed novel smart cupboard successfully measured memory.
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spelling pubmed-66037832019-07-17 Smart Cupboard for Assessing Memory in Home Environment González-Landero, Franks García-Magariño, Iván Amariglio, Rebecca Lacuesta, Raquel Sensors (Basel) Article Sensor systems for the Internet of Things (IoT) make it possible to continuously monitor people, gathering information without any extra effort from them. Thus, the IoT can be very helpful in the context of early disease detection, which can improve peoples’ quality of life by applying the right treatment and measures at an early stage. This paper presents a new use of IoT sensor systems—we present a novel three-door smart cupboard that can measure the memory of a user, aiming at detecting potential memory losses. The smart cupboard has three sensors connected to a Raspberry Pi, whose aim is to detect which doors are opened. Inside of the Raspberry Pi, a Python script detects the openings of the doors, and classifies the events between attempts of finding something without success and the events of actually finding it, in order to measure the user’s memory concerning the objects’ locations (among the three compartments of the smart cupboard). The smart cupboard was assessed with 23 different users in a controlled environment. This smart cupboard was powered by an external battery. The memory assessments of the smart cupboard were compared with a validated test of memory assessment about face–name associations and a self-reported test about self-perceived memory. We found a significant correlation between the smart cupboard results and both memory measurement methods. Thus, we conclude that the proposed novel smart cupboard successfully measured memory. MDPI 2019-06-04 /pmc/articles/PMC6603783/ /pubmed/31167485 http://dx.doi.org/10.3390/s19112552 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
González-Landero, Franks
García-Magariño, Iván
Amariglio, Rebecca
Lacuesta, Raquel
Smart Cupboard for Assessing Memory in Home Environment
title Smart Cupboard for Assessing Memory in Home Environment
title_full Smart Cupboard for Assessing Memory in Home Environment
title_fullStr Smart Cupboard for Assessing Memory in Home Environment
title_full_unstemmed Smart Cupboard for Assessing Memory in Home Environment
title_short Smart Cupboard for Assessing Memory in Home Environment
title_sort smart cupboard for assessing memory in home environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603783/
https://www.ncbi.nlm.nih.gov/pubmed/31167485
http://dx.doi.org/10.3390/s19112552
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