TY - BOOK AU - Grützmacher, Florian PY - 2021 DA - 2021// TI - System-level design of energy-efficient sensor-based human activity recognition systems: a model-based approach PB - Universität Rostock CY - Rostock AB - 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. UR - http://purl.uni-rostock.de/rosdok/id00003373 UR - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00003373-3 UR - https://d-nb.info/1293535451/34 UR - https://doi.org/10.18453/rosdok_id00003373 DO - 10.18453/rosdok_id00003373 LA - English N1 - vorgelegt von Florian Grützmacher ID - 1777952328 ER -