10.18453/rosdok_id00003373 Grützmacher, Florian Florian Grützmacher http://d-nb.info/gnd/1246041081 https://orcid.org/0000-0003-0370-222X Universität Rostock 2021 000 Generalities, Science 621.3 Electrical Engineering, Electronics 2021 en http://purl.uni-rostock.de/rosdok/id00003373 urn:nbn:de:gbv:28-rosdok_id00003373-3 This thesis contributes an evaluation of state-of-the-art dataflow models of computation regarding their suitability for a model-based design and analysis of human activity recognition systems, in terms of expressiveness and analyzability, as well as model accuracy. Different aspects of state-of-the-art human activity recognition systems have been modeled and analyzed. Based on existing methods, novel analysis approaches have been developed to acquire extra-functional properties like processor utilization, data communication rates, and finally energy consumption of the system.