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Detection of Behavioral Data Based on Recordings from Energy Usage Sensor

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

Monitoring of human behavior in the natural living habitat requires a hidden yet accurate measurement. Several previous attempts showed, that this can be achieved by recording and analysing interactions of the supervised human with sensorized equipment of his or her household. We propose an imperceptible single-sensor measurement, already applied for energy usage profiling, to detect the usage of electrically powered domestic appliances and deduct important facts about the operator’s functional health. This paper proposes a general scheme of the system, discusses the personalization and adaptation issues and reveals benefits and limitations of the proposed approach. It also presents experimental results showing reliability of device detection based on their load signatures and areas of applicability of the load sensor to analyses of device usage and human performance.

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Acknowledgement

This scientific work is supported by the AGH University of Science and Technology in years 2015–2016 as a research project No. 11.11.120.612.

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Authors and Affiliations

  1. AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059, Kraków, Poland

    Piotr Augustyniak

Authors
  1. Piotr Augustyniak
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Correspondence to Piotr Augustyniak .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2016 Springer International Publishing Switzerland

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Augustyniak, P. (2016). Detection of Behavioral Data Based on Recordings from Energy Usage Sensor. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

  • Online ISBN: 978-3-319-39384-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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