@inproceedings{846ab3d6db284f918cfcd21f73dd0533,
title = "Distributed modular toolbox for multi-modal context recognition",
abstract = "We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components. The goals of the toolbox are to simplify the steps from prototypes to online implementations on low-power mobile devices, facilitate portability between platforms and foster easy adaptation and extensibility. The main features of the toolbox we focus on here are a set of parameterizable algorithms including different filters, feature computations and classifiers, a runtime environment that supports complex synchronous and asynchronous data flows, encapsulation of hardware-specific aspects including sensors and data types (e.g., int vs. float), and the ability to outsource parts of the computation to remote devices. In addition, components are provided for group-wise, event-based sensor synchronization and data labeling. We describe the architecture of the toolbox and illustrate its functionality on two case studies that are part of the downloadable distribution. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",
author = "D. Bannach and K.S. Kunze and P. Lukowicz and O.D. Amft",
year = "2006",
doi = "10.1007/11682127_8",
language = "English",
isbn = "978-3-540-32765-3",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "99--113",
editor = "W. Grass and B. Sick and K. Waldschmidt",
booktitle = "Architecture of Computing Systems - ARCS 2006",
address = "Germany",
}