Self-learning AI method for anomaly detection in ambient assisted living environments

Abstract

The demographic shift in Germany, coupled with an aging population and a shortage of skilled caregivers, underscores the need for innovative solutions to address the challenges of eldercare. This paper explores the potential of digitalization to support independent living for the elderly through the use of sensor technologies. By detecting subtle changes in daily routines and behaviors these technologies enable early intervention to prevent accidents and maintain health. A self-learning system is proposed, leveraging AI methods to continuously adapt to individual users' needs while ensuring privacy.