The higher prevalence of age-associated neurodegenerative disorders (e.g. Parkinson, Alzheimer), is in line with a steady increase of the average life expectancy in Switzerland. With the progression of neurodegenerative disorders and the increasing number of elderly people, the need for institutional care intensifies, which contrasts with the desire of most elderly and patients to live independently. The rapid evolution of assistive technology offers new possibilities in providing medical professionals preventive services in real-time. An extended stay in the hospital could influence independent ageing negatively and thus, monitoring has great potential to prevent critical events. In this study, the main focus is on the individual sensors and how they can be combined to one unobtrusive system. In addition, to get an understanding which parameters of the sensors are important and how the data can be extracted and processed (algorithms). Therefore, the aim of this study is to validate the accuracy to assess human behaviour and daily activities during day and night by unobtrusive sensors in an instrumented apartment in healthy participants.
The progression of neurodegenerative disorders and the increasing number of elderly people intensifies the need of institutional care, which contrasts with the desire of most elderly and patients to live independently at home. The rapid evolution of assistive technology offers new possibilities in providing medical professionals preventive services in real-time. Therefore, the main focus of this study is on the individual sensors and how they can be combined to one unobtrusive system to assess the human behaviour and daily activities during day and night in an instrumented apartment in healthy participants.