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Audio-Based Human Activity Recognition Using Non-Markovian Ensemble Voting
Social Robotics Lab, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany. (AASS)ORCID iD: 0000-0003-3958-6179
Social Robotics Lab, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.
Social Robotics Lab, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.
Social Robotics Lab, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.
2012 (English)In: 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, IEEE conference proceedings, 2012, p. 509-514Conference paper, Published paper (Refereed)
Abstract [en]

Human activity recognition is a key component for socially enabled robots to effectively and naturally interact with humans. In this paper we exploit the fact that many human activities produce characteristic sounds from which a robot can infer the corresponding actions. We propose a novel recognition approach called Non-Markovian Ensemble Voting (NEV) able to classify multiple human activities in an online fashion without the need for silence detection or audio stream segmentation. Moreover, the method can deal with activities that are extended over undefined periods in time. In a series of experiments in real reverberant environments, we are able to robustly recognize 22 different sounds that correspond to a number of human activities in a bathroom and kitchen context. Our method outperforms several established classification techniques.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. p. 509-514
Series
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, ISSN 1944-9445, E-ISSN 1944-9437
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:oru:diva-71569DOI: 10.1109/ROMAN.2012.6343802Scopus ID: 2-s2.0-84870828922OAI: oai:DiVA.org:oru-71569DiVA, id: diva2:1280219
Conference
21st IEEE International Symposium on Robot and Human Interactive Communication, Paris, France, September 9-13, 2012
Funder
German Research Foundation (DFG), SFB/TR 8Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-01-23Bibliographically approved

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Stork, Johannes Andreas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf