Nutzerzentriertes Assistenz- und Sicherheitssystem zur Unterstützung von Menschen mit Demenz auf Basis intelligenter Verhaltensanalyse

Apitzsch, André; Seidel, Roman; Meinel, Lars; Findeisen, Michel; Hirtz, Gangolf

doi:10.1007/978-3-658-13644-4_8

Cited by 1 publication

(2 citation statements)

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“…In an effort to cope with the resulting shortage of professional caregivers, technical eHealth solutions are becoming popular in application-driven research in the last couple of years. As a result, in the field of Ambient Assisted Living (AAL) behaviour analysis-based technical assistance systems are being developed to support different user groups, such as the elderly or professional caregivers [3]. Early AAL systems were based on readily available smart home devices [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Early AAL systems were based on readily available smart home devices [4,5]. Enhancing previous research, AUXILIA additionally employs novel contactless assistive technology to enable elderly with incipient dementia to live self-determined lives in their own homes for longer [3,6]. This technology consists of an audio-visual smart sensor system, which provides interactive assistance, security and informative participation.…”

Section: Introductionmentioning

confidence: 99%

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

Siedel

Scheck

Grassi

et al. 2020

Current Directions in Biomedical Engineering

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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.

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Section: Introductionmentioning

confidence: 99%