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Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity

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Book cover Ambient Intelligence for Health (AmIHEALTH 2015)

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Abstract

Ambient intelligence is a suitable paradigm for developing daily life solutions including the health care domain. Many ageing adults who decide to live alone at home need constant monitoring to control their health status and quality of life. This paper introduces the description of a wearable device capable of acquiring the electrodermal activity (EDA) in order to obtain information on the arousal level of the elderly. The lightweight wearable device is placed in the wrist of the ageing adult to allow continuous monitoring of EDA signals. With the aim of triggering changes in the emotional state of the ageing adult, fifty pictures from the International Affective Picture System are used to assess the electronic device through a series of experiments. The initial results show that the overall system classifies people into two classes: calmed and stressed patients. The results show that through measuring the EDA events’ magnitudes, the ageing adults’ arousal level is classified with a global accuracy higher than 80 %.

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Acknowledgements

This work was partially supported by Spanish Ministerio de Economía y Competitividad/FEDER under TIN2013-47074-C2-1-R grant.

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Authors and Affiliations

  1. Instituto de Tecnologías Audiovisuales, Universidad de Castilla-La Mancha, 13071, Cuenca, Spain

    Arturo Martínez-Rodrigo, Roberto Zangróniz & José Manuel Pastor

  2. Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    Antonio Fernández-Caballero

Authors
  1. Arturo Martínez-Rodrigo
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  2. Roberto Zangróniz
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  3. José Manuel Pastor
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  4. Antonio Fernández-Caballero
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Corresponding author

Correspondence to Antonio Fernández-Caballero .

Editor information

Editors and Affiliations

  1. Castilla-La Mancha University, CIUDAD REAL, Ciudad Real, Spain

    José Bravo

  2. Castilla-La Mancha University, Ciudad Real, Spain

    Ramón Hervás

  3. Technological University of Panamá, Panama, Panama

    Vladimir Villarreal

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Martínez-Rodrigo, A., Zangróniz, R., Pastor, J.M., Fernández-Caballero, A. (2015). Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity. In: Bravo, J., Hervás, R., Villarreal, V. (eds) Ambient Intelligence for Health. AmIHEALTH 2015. Lecture Notes in Computer Science(), vol 9456. Springer, Cham. https://doi.org/10.1007/978-3-319-26508-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-26508-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26507-0

  • Online ISBN: 978-3-319-26508-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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