Abstract
Abstract 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.
Highlights
The German population is expected to rise until 2035 and reach just over 83 million people [1]
With this work we report the current status of AUXILIA and announce the development of fall detection and sleep quality estimation
We describes a contactless sleep quality estimation algorithm used in AUXILIA
Summary
The German population is expected to rise until 2035 and reach just over 83 million people [1]. The amount of people requiring professional care rises even faster and will go from 3.5 million today to over four million by 2035 and climb even further to 5.1 million by 2050 [2]. 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. 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
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