KI@Home - Prediction of 'adverse events' using Artificial Intelligence and Ambient Assisted Living systems in the home of people in need of care.
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Motivation
Forecasts predict that by 2060, one in three of Germany's inhabitants will be 65 or older. This trend, combined with a lower private care rate and a shortage of caregivers, poses a major challenge for society and the social security system. For some time now, various research projects have been concerned with the development of age-appropriate assistance systems (Ambient Assisted Living: AAL), which are intended to support older people in various areas of their everyday lives at home. Unfortunately, very few projects have made it anywhere near a real-world application, as neither sufficient acceptance nor adoption of the solution into mainstream care has been achieved.
Objectives and procedure
The goal of KI@Home is the development of a self-learning system for the field of age-appropriate living, which can predict the individual probability of occurrence of events - especially dangerous situations - by means of AI algorithms. For this purpose, adaptive models are to be used to predict individual probabilities of occurrence of events and thus warn the person in need of care or his or her relatives at an early stage. This project will focus not only on the technology, but also on the applicability of the solution and its acceptance. In other words, the aim is to develop a concept for a broadly accepted, viable business model, on the basis of which it will be possible to transfer the results to standard care.
Innovations und Perspectives
KI@Home aims to be the first AAL solution on the market that not only informs relatives or the care service retrospectively in the case of events that have already occurred, but also provides individualized and adaptive risk information on possible dangerous situations. This can prevent accidents and save considerable follow-up costs.
