Germany is undergoing profound demographic change, characterized by an ageing population and declining birth rates. This development is accompanied by an increase in age-related chronic diseases – and thus a significant growth in the need for long-term care. Particularly serious is the increase in cognitive impairments such as mild cognitive impairment and dementia, which require a high level of care. At the same time, the shortage of nursing staff is reaching alarming proportions. In view of these challenges, innovative solutions are needed.
The BehAIve project is making a promising contribution in this area. It aims to develop an AI-supported, situation-adaptive system to support older people in their everyday lives or geriatric patients during hospital stays. Continuous monitoring using sensors will analyse people's behaviour, identify problematic behaviours and offer targeted support where necessary. This can significantly improve the quality of life of people with cognitive impairments or geriatric patients – while also reducing the workload of nursing staff.
As part of a collaborative project with the Universities of Greifswald and Rostock, Wismar University of Applied Sciences deals with the Identification and extraction of information from structured and unstructured sources so that a machine-interpretable description of instructions can be generated (situation model), which is used to create causal models of human behaviour.
