@Book{1777952328,
author="Gr{\"u}tzmacher, Florian",
title="System-level design of energy-efficient sensor-based human activity recognition systems: a model-based approach",
year="2021",
address="Rostock",
abstract="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>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Florian Gr{\"u}tzmacher",
note="GutachterInnen: Christian Haubelt (University of Rostock, Germany) ; Thomas Kirste (University of Rostock, Germany) ; Andy Pimentel (University of Amsterdam, Netherlands)",
note="Dissertation Universit{\"a}t Rostock 2021",
doi="10.18453/rosdok_id00003373",
url="http://purl.uni-rostock.de/rosdok/id00003373",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00003373-3",
url="https://d-nb.info/1293535451/34",
url="https://doi.org/10.18453/rosdok_id00003373",
language="English"
}