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Recognition of Indoors Activity Sounds for Robot-Based Home Monitoring in Assisted Living Environments

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Interactive Collaborative Robotics (ICR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10459))

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Abstract

In this paper we present a methodology for the recognition of indoors human activities using microphone for robotic applications on the move. In detail, a number of classification algorithms were evaluated in the task of home sound classification using real indoors conditions and different realistic setups for recordings of sounds from different locations - rooms. The evaluation results showed the ability of the methodology to be used for monitoring of home activities in real conditions with the best performing algorithm being the support vector machine classifier with accuracy equal to 94.89%.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University, Sriracha Campus, Chonburi, 20230, Thailand

    Prasitthichai Naronglerdrit

  2. School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK

    Iosif Mporas

Authors
  1. Prasitthichai Naronglerdrit
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  2. Iosif Mporas
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Correspondence to Prasitthichai Naronglerdrit .

Editor information

Editors and Affiliations

  1. SPIIRAS , St. Petersburg, Russia

    Andrey Ronzhin

  2. Technical University of Munich, Munich, Germany

    Gerhard Rigoll

  3. Tomsk State University , Tomsk, Russia

    Roman Meshcheryakov

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Naronglerdrit, P., Mporas, I. (2017). Recognition of Indoors Activity Sounds for Robot-Based Home Monitoring in Assisted Living Environments. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2017. Lecture Notes in Computer Science(), vol 10459. Springer, Cham. https://doi.org/10.1007/978-3-319-66471-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-66471-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66470-5

  • Online ISBN: 978-3-319-66471-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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