Master's thesis of Engineering: Multimodal data fusion for cyber-physical-human systems

The primary aim of this research was to further develop the sensing and estimation module of the CHMS framework with an improved multimodal inference model of MWL as needed for the application in aerospace CPHS. Here the focus of this research was on the implementation of a multimodal inference model of MWL that would be developed and experimentally tested. This was done with the purpose of studying the viability of real‐time system adaptation in aerospace systems.