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Biomedical Engineering / Biomedizinische Technik

Editor-in-Chief: Dössel, Olaf

Editorial Board Member: Augat, Peter / Gehring, Hartmut / Haueisen, Jens / Jockenhoevel, Stefan / Leonhardt, Steffen / Niederlag, Wolfgang / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Schmitz, Georg / Stieglitz, Thomas / Witte, Herbert / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen / Wintermantel, Erich /

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Volume 57 (2012)

Processing of physiological signals in automotive research

Michael Dambier1 / Tobias Altmüller2 / Ulrich Ladstätter3




Corresponding author: Dipl.-Inform. Michael Dambier, Robert Bosch GmbH, Corporate Sector Research and Advance Engineering, Human-Machine Interaction, Dep. CR/AEH, P.O. Box 30 02 40, 70442 Stuttgart, Germany Phone: +49-711-81124815 Fax: +49-711-8111052

Citation Information: Biomedizinische Technik. Volume 51, Issue 5/6, Pages 320–324, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/BMT.2006.064, December 2006

Publication History

Published Online:


The development of innovative driver assistance systems requires the evaluation of the predisposed hypotheses such as acceptance and driving safety. For this purpose, the conduction of experiments with end-users as subjects is necessary. Analysis and evaluation are based on the recording of numerous sensor values and system variables. Video, gaze and physiological data are recorded for the analysis of gaze distraction and emotional reactions of subjects to system behaviour. In this paper, a modular data streaming and processing architecture is suggested and a concept for this architecture is defined for consistent data evaluation, which integrates off-the-shelf products for data analysis and evaluation.

Keywords: data streaming; driver assistance system; signal processing architecture

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