Home 4.0: With Sensor Data from Everyday Life to Health and Care Prognosis

Horst Kunhardt ()
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Horst Kunhardt: Deggendorf Institute of Technology

A chapter in Digitalization in Healthcare, 2021, pp 133-146 from Springer

Abstract: Abstract We spend most of the time of our life in our own rooms and houses. Older people want to live in their own apartments or houses as long as possible. They also want to live as long as possible in their familiar social environment. A stay in hospital or moving to a nursing home are fundamental changes in the lives of many people. However, modern technology can support a long and self-determined life in one’s own home and thus contribute to a better quality of life. In the research project Home4.0 a technical-digital solution is being developed and evaluated. The goal of the project is to enable people in need of care and assistance to stay in their own environment as long, safely, and self-determined as possible with technical-digital support. The sensor data collected in everyday life are systematically logged and evaluated and used as a basis for quick intervention in an emergency as well as for a prognosis for proactive action in case of an emerging decline in health status. The goal is to equip 100 households and apartments with digital assistance technologies and to develop a database as a basis for machine learning. With the help of AI, prognoses for the detection of changes in the course of chronic diseases are to be developed in order to activate regional assistance and rescue services in case of emergency.

Date: 2021
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DOI: 10.1007/978-3-030-65896-0_12

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