Sensor-Based Fall Risk Assessment: A Survey

Fall is a major problem leading to serious injuries in geriatric populations. Sensor-based fall risk assessment is one of the emerging technologies to identify people with high fall risk by sensors, so as to implement fall prevention measures. Research on this domain has recently made great progress...

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Autores principales:	Guangyang Zhao, Liming Chen, Huansheng Ning
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fall risk assessment fall prediction gait monitoring sensor Medicine R
Acceso en línea:	https://doaj.org/article/695946fcbe6449b2a8a926b2e14f6be5
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id	oai:doaj.org-article:695946fcbe6449b2a8a926b2e14f6be5
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spelling	oai:doaj.org-article:695946fcbe6449b2a8a926b2e14f6be52021-11-25T17:44:04ZSensor-Based Fall Risk Assessment: A Survey10.3390/healthcare91114482227-9032https://doaj.org/article/695946fcbe6449b2a8a926b2e14f6be52021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1448https://doaj.org/toc/2227-9032Fall is a major problem leading to serious injuries in geriatric populations. Sensor-based fall risk assessment is one of the emerging technologies to identify people with high fall risk by sensors, so as to implement fall prevention measures. Research on this domain has recently made great progress, attracting the growing attention of researchers from medicine and engineering. However, there is a lack of studies on this topic which elaborate the state of the art. This paper presents a comprehensive survey to discuss the development and current status of various aspects of sensor-based fall risk assessment. Firstly, we present the principles of fall risk assessment. Secondly, we show knowledge of fall risk monitoring techniques, including wearable sensor based and non-wearable sensor based. After that we discuss features which are extracted from sensors in fall risk assessment. Then we review the major methods of fall risk modeling and assessment. We also discuss some challenges and promising directions in this field at last.Guangyang ZhaoLiming ChenHuansheng NingMDPI AGarticlefall risk assessmentfall predictiongait monitoringsensorMedicineRENHealthcare, Vol 9, Iss 1448, p 1448 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fall risk assessment fall prediction gait monitoring sensor Medicine R
spellingShingle	fall risk assessment fall prediction gait monitoring sensor Medicine R Guangyang Zhao Liming Chen Huansheng Ning Sensor-Based Fall Risk Assessment: A Survey
description	Fall is a major problem leading to serious injuries in geriatric populations. Sensor-based fall risk assessment is one of the emerging technologies to identify people with high fall risk by sensors, so as to implement fall prevention measures. Research on this domain has recently made great progress, attracting the growing attention of researchers from medicine and engineering. However, there is a lack of studies on this topic which elaborate the state of the art. This paper presents a comprehensive survey to discuss the development and current status of various aspects of sensor-based fall risk assessment. Firstly, we present the principles of fall risk assessment. Secondly, we show knowledge of fall risk monitoring techniques, including wearable sensor based and non-wearable sensor based. After that we discuss features which are extracted from sensors in fall risk assessment. Then we review the major methods of fall risk modeling and assessment. We also discuss some challenges and promising directions in this field at last.
format	article
author	Guangyang Zhao Liming Chen Huansheng Ning
author_facet	Guangyang Zhao Liming Chen Huansheng Ning
author_sort	Guangyang Zhao
title	Sensor-Based Fall Risk Assessment: A Survey
title_short	Sensor-Based Fall Risk Assessment: A Survey
title_full	Sensor-Based Fall Risk Assessment: A Survey
title_fullStr	Sensor-Based Fall Risk Assessment: A Survey
title_full_unstemmed	Sensor-Based Fall Risk Assessment: A Survey
title_sort	sensor-based fall risk assessment: a survey
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/695946fcbe6449b2a8a926b2e14f6be5
work_keys_str_mv	AT guangyangzhao sensorbasedfallriskassessmentasurvey AT limingchen sensorbasedfallriskassessmentasurvey AT huanshengning sensorbasedfallriskassessmentasurvey
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Sensor-Based Fall Risk Assessment: A Survey

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