High-Efficiency Multi-Sensor System for Chair Usage Detection

Recognizing Activities of Daily Living (ADL) or detecting falls in domestic environments require monitoring the movements and positions of a person. Several approaches use wearable devices or cameras, especially for fall detection, but they are considered intrusive by many users. To support such act...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Alessandro Baserga, Federico Grandi, Andrea Masciadri, Sara Comai, Fabio Salice
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fall detection chair usage ambient assisted living capacitive coupling sensor accelerometer sensor Activities of Daily Living Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/9055fbb4a2b843d2b3639696934d7d09
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9055fbb4a2b843d2b3639696934d7d09
record_format	dspace
spelling	oai:doaj.org-article:9055fbb4a2b843d2b3639696934d7d092021-11-25T18:57:35ZHigh-Efficiency Multi-Sensor System for Chair Usage Detection10.3390/s212275801424-8220https://doaj.org/article/9055fbb4a2b843d2b3639696934d7d092021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7580https://doaj.org/toc/1424-8220Recognizing Activities of Daily Living (ADL) or detecting falls in domestic environments require monitoring the movements and positions of a person. Several approaches use wearable devices or cameras, especially for fall detection, but they are considered intrusive by many users. To support such activities in an unobtrusive way, ambient-based solutions are available (e.g., based on PIRs, contact sensors, etc.). In this paper, we focus on the problem of sitting detection exploiting only unobtrusive sensors. In fact, sitting detection can be useful to understand the position of the user in many activities of the daily routines. While identifying sitting/lying on a sofa or bed is reasonably simple with pressure sensors, detecting whether a person is sitting on a chair is an open problem due to the natural chair position volatility. This paper proposes a reliable, not invasive and energetically sustainable system that can be used on chairs already present in the home. In particular, the proposed solution fuses the data of an accelerometer and a capacitive coupling sensor to understand if a person is sitting or not, discriminating the case of objects left on the chair. The results obtained in a real environment setting show an accuracy of 98.6% and a precision of 95%.Alessandro BasergaFederico GrandiAndrea MasciadriSara ComaiFabio SaliceMDPI AGarticlefall detectionchair usageambient assisted livingcapacitive coupling sensoraccelerometer sensorActivities of Daily LivingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7580, p 7580 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fall detection chair usage ambient assisted living capacitive coupling sensor accelerometer sensor Activities of Daily Living Chemical technology TP1-1185
spellingShingle	fall detection chair usage ambient assisted living capacitive coupling sensor accelerometer sensor Activities of Daily Living Chemical technology TP1-1185 Alessandro Baserga Federico Grandi Andrea Masciadri Sara Comai Fabio Salice High-Efficiency Multi-Sensor System for Chair Usage Detection
description	Recognizing Activities of Daily Living (ADL) or detecting falls in domestic environments require monitoring the movements and positions of a person. Several approaches use wearable devices or cameras, especially for fall detection, but they are considered intrusive by many users. To support such activities in an unobtrusive way, ambient-based solutions are available (e.g., based on PIRs, contact sensors, etc.). In this paper, we focus on the problem of sitting detection exploiting only unobtrusive sensors. In fact, sitting detection can be useful to understand the position of the user in many activities of the daily routines. While identifying sitting/lying on a sofa or bed is reasonably simple with pressure sensors, detecting whether a person is sitting on a chair is an open problem due to the natural chair position volatility. This paper proposes a reliable, not invasive and energetically sustainable system that can be used on chairs already present in the home. In particular, the proposed solution fuses the data of an accelerometer and a capacitive coupling sensor to understand if a person is sitting or not, discriminating the case of objects left on the chair. The results obtained in a real environment setting show an accuracy of 98.6% and a precision of 95%.
format	article
author	Alessandro Baserga Federico Grandi Andrea Masciadri Sara Comai Fabio Salice
author_facet	Alessandro Baserga Federico Grandi Andrea Masciadri Sara Comai Fabio Salice
author_sort	Alessandro Baserga
title	High-Efficiency Multi-Sensor System for Chair Usage Detection
title_short	High-Efficiency Multi-Sensor System for Chair Usage Detection
title_full	High-Efficiency Multi-Sensor System for Chair Usage Detection
title_fullStr	High-Efficiency Multi-Sensor System for Chair Usage Detection
title_full_unstemmed	High-Efficiency Multi-Sensor System for Chair Usage Detection
title_sort	high-efficiency multi-sensor system for chair usage detection
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9055fbb4a2b843d2b3639696934d7d09
work_keys_str_mv	AT alessandrobaserga highefficiencymultisensorsystemforchairusagedetection AT federicograndi highefficiencymultisensorsystemforchairusagedetection AT andreamasciadri highefficiencymultisensorsystemforchairusagedetection AT saracomai highefficiencymultisensorsystemforchairusagedetection AT fabiosalice highefficiencymultisensorsystemforchairusagedetection
_version_	1718410476195414016

High-Efficiency Multi-Sensor System for Chair Usage Detection

Ejemplares similares