Distributed modular toolbox for multi-modal context recognition

David Bannach, Kai Kunze, Paul Lukowicz, Oliver Amft

研究成果: Conference contribution

34 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルArchitecture of Computing Systems - ARCS 2006 - 19th International Conference, Proceedings
ページ99-113
ページ数15
DOI
出版ステータスPublished - 2006 7月 10
外部発表はい
イベント19th International Conference on Architecture of Computing Systems, ARCS 2006 - Frankfurt, Main, Germany
継続期間: 2006 3月 132006 3月 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3894 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other19th International Conference on Architecture of Computing Systems, ARCS 2006
国/地域Germany
CityFrankfurt, Main
Period06/3/1306/3/16

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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