AAL technologies are a valuable resource in the diagnosis and therapy of a diverse range of chronic diseases. Changes in behaviour patterns in daily life may indicate the onset of a neurodegenerative disease. Sensors are used to help gather the relevant data, for example in connection with hygiene and sleeping habits, the use of technical equipment or patterns of movement within the home. AIT develops innovative solutions for the sensorbased detection and analysis of these changes to support medical experts in diagnosis and therapy. All data are collected and evaluated in strict compliance with ethical principles and data protection regulations.
- Development of self-learning algorithms and models for detecting and analysing patterns of activity and detecting critical situations
- Evaluation and trend analysis of raw data over extended periods
- Development of reminder and assistance systems