Machine Learning for Contactless Low-Cost Vital Signs Monitoring Systems

Abstract

Following a growth of the elderly population in developed countries, a growth in research towards contactless measurement systems for this public has been observed. The development goes often in the direction of intelligent systems to support nursing staffs in assisted living residences. This can also be foreseen for those living alone at home. In this work, two contactless sensing systems are presented, one of them already with an optimized algorithm based on machine learning. Moreover, the optimization of a specific parameter and of an inclusion of a boundary condition for the algorithm are explained.