%0 Book
%T System-level design of energy-efficient sensor-based human activity recognition systems: a model-based approach
%A Grützmacher, Florian
%D 2021
%C Rostock
%C Universität Rostock
%G English
%F 1777952328
%O vorgelegt von Florian Grützmacher
%O GutachterInnen: Christian Haubelt (University of Rostock, Germany) ; Thomas Kirste (University of Rostock, Germany) ; Andy Pimentel (University of Amsterdam, Netherlands)
%O Dissertation Universität Rostock 2021
%X 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.<eng>
%L 000
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00003373
%U http://purl.uni-rostock.de/rosdok/id00003373
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00003373-3
%U https://d-nb.info/1293535451/34
%U https://doi.org/10.18453/rosdok_id00003373