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Human Distress Sound Analysis and Characterization Using Advanced Classification Techniques

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Artificial Intelligence: Theories, Models and Applications (SETN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5138))

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Abstract

The analysis of sounds generated in close proximity of a subject can often indicate emergency events like falls, pain and other distress situations. This paper presents a system for collecting and analyzing sounds and speech expressions utilizing on-body sensors and advanced classification techniques for emergency events detection. A variety of popular classification and meta-classification algorithms have been evaluated and the corresponding results are presented.

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Author information

Authors and Affiliations

  1. Dep. of Information & Communication Systems Engineering, University of the Aegean, Samos, Greece

    Charalampos Doukas & Ilias Maglogiannis

  2. Dep. of Biomedical Informatics, University of Central Greece, Lamia, Greece

    Ilias Maglogiannis

Authors
  1. Charalampos Doukas
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  2. Ilias Maglogiannis
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John Darzentas George A. Vouros Spyros Vosinakis Argyris Arnellos

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© 2008 Springer-Verlag Berlin Heidelberg

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Doukas, C., Maglogiannis, I. (2008). Human Distress Sound Analysis and Characterization Using Advanced Classification Techniques. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_8

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  • DOI: https://doi.org/10.1007/978-3-540-87881-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87880-3

  • Online ISBN: 978-3-540-87881-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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