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A Method of Controlling Household Electrical Appliance by Hand Motion in LonWorks

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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Abstract

We investigate the method for many people to deliver home automation using the EMG that has been used for the sake of diagnosis of neurogenic and myogenic diseases. In order to compute characteristics of the EMG more easily, we use the well-known FFT. With characteristics obtained from FFT method, we propose the motion classifier for functional matching in network and to show the feasibility of home automation by the motion classifier, we have designed that basic household electrical appliance is run by operator’s motion in on-line.

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Author information

Authors and Affiliations

  1. ISRL, Korea University, 1, 5ga Anam-dong Sungbuk-Gu, 136-713, Seoul, South Korea

    Il-Joo Shim, Kyung-Bae Chang & Gwi-Tae Park

Authors
  1. Il-Joo Shim
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  2. Kyung-Bae Chang
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  3. Gwi-Tae Park
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Shim, IJ., Chang, KB., Park, GT. (2005). A Method of Controlling Household Electrical Appliance by Hand Motion in LonWorks. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_17

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  • DOI: https://doi.org/10.1007/11554028_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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