Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia

In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide and twice the amount will presumably be effected in...

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Autores principales:	Siedel Roman, Scheck Tobias, Perez Grassi Ana C., Seuffert Julian B., Apitzsch André, Yu Jingrui, Nestler Norbert, Heinz Danny, Lehmann Lars, Goy Anne, Hirtz Gangolf
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	aal dementia omnidirectional camera behavioural analysis fall detection sleep quality estimation Medicine R
Acceso en línea:	https://doaj.org/article/67ce5d6b0a7f40ac93828a0fe49891f7
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id	oai:doaj.org-article:67ce5d6b0a7f40ac93828a0fe49891f7
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spelling	oai:doaj.org-article:67ce5d6b0a7f40ac93828a0fe49891f72021-12-05T14:10:42ZContactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia2364-550410.1515/cdbme-2020-3100https://doaj.org/article/67ce5d6b0a7f40ac93828a0fe49891f72020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3100https://doaj.org/toc/2364-5504In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide and twice the amount will presumably be effected in 2030. The field of Ambient Assisted Living (AAL) tackles this problem by facilitating technical system-aided everyday life. AUXILIA is such an AAL system and does not only support elderly people with dementia in an early phase, but also monitors their activities to provide behaviour analysis results for care attendants, relatives and physicians. Moreover, the system is capable of recognizing emergency situations like human falls. Furthermore, sleep quality estimation is employed to be able to draw conclusions about the current behaviour of an affected person. This article presents the current development state of AUXILIA.Siedel RomanScheck TobiasPerez Grassi Ana C.Seuffert Julian B.Apitzsch AndréYu JingruiNestler NorbertHeinz DannyLehmann LarsGoy AnneHirtz GangolfDe Gruyterarticleaaldementiaomnidirectional camerabehavioural analysisfall detectionsleep quality estimationMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 388-391 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	aal dementia omnidirectional camera behavioural analysis fall detection sleep quality estimation Medicine R
spellingShingle	aal dementia omnidirectional camera behavioural analysis fall detection sleep quality estimation Medicine R Siedel Roman Scheck Tobias Perez Grassi Ana C. Seuffert Julian B. Apitzsch André Yu Jingrui Nestler Norbert Heinz Danny Lehmann Lars Goy Anne Hirtz Gangolf Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
description	In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide and twice the amount will presumably be effected in 2030. The field of Ambient Assisted Living (AAL) tackles this problem by facilitating technical system-aided everyday life. AUXILIA is such an AAL system and does not only support elderly people with dementia in an early phase, but also monitors their activities to provide behaviour analysis results for care attendants, relatives and physicians. Moreover, the system is capable of recognizing emergency situations like human falls. Furthermore, sleep quality estimation is employed to be able to draw conclusions about the current behaviour of an affected person. This article presents the current development state of AUXILIA.
format	article
author	Siedel Roman Scheck Tobias Perez Grassi Ana C. Seuffert Julian B. Apitzsch André Yu Jingrui Nestler Norbert Heinz Danny Lehmann Lars Goy Anne Hirtz Gangolf
author_facet	Siedel Roman Scheck Tobias Perez Grassi Ana C. Seuffert Julian B. Apitzsch André Yu Jingrui Nestler Norbert Heinz Danny Lehmann Lars Goy Anne Hirtz Gangolf
author_sort	Siedel Roman
title	Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
title_short	Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
title_full	Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
title_fullStr	Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
title_full_unstemmed	Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia
title_sort	contactless interactive fall detection and sleep quality estimation for supporting elderly with incipient dementia
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/67ce5d6b0a7f40ac93828a0fe49891f7
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Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia

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