online fashion / tool chain / real time classification system / Online system architecture / online system / real time / online implementations / sensor data processing / proposed tool chain / contextaware systems / identification algorithm / genetic algorithm / low-power mobile devices / source scientific tools / context-aware applications / ubiquitous computing research / multi-modal context recognition systems / input processing module / computing / fuzzy inference systems / sensor hardware / /
Movie
W. V / Real Life 4 / /
OperatingSystem
OpenMoko / Linux / Android / Maemo / /
Organization
Michael Beigl Institut für Betriebssysteme / Massachusetts Institute of Technology / Niedersaechsische Technische Hochschule / Technische Universität Braunschweig Abstract In / NTH School for IT Ecosystems / US Federal Reserve / Ambient Intelligence / Pattern Analysis and Machine Intelligence / /
Person
Henning Günther / Martin Berchtold / Firas El Simrany / Michael Beigl / /
Position
Prime Minister / stop criteria Data Collector / /
Product
iPhone / Nokia N900 Smartphone / Motorola Milestone Smartphone / Context Classification System / Recursive Fuzzy Inference System / /
ProgrammingLanguage
Python / SQL / XML / C++ / /
ProvinceOrState
W. V. / Massachusetts / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / /
Technology
XML / floating point unit / Linux / API / GPS / genetic algorithm / 2 Genetic Algorithm / Android / operating system / pdf / identification algorithm / mobile devices / 2.2 2.3 CCS Identification Algorithm The CCS identification algorithm / training algorithm / 4.3 Implementation The CCS identification algorithm / CAT / GUI / collected using the exposed sysfs API / /
A Tool Chain for a Lightweight, Robust and Uncertainty-based Context Classification System (CCS) Henning Günther, Firas El Simrany, Martin Berchtold and Michael Beigl Institut für Betriebssysteme und Rechnerverbund, Te