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Emotion Detection in Ageing Adults from Physiological Sensors

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Abstract

The increasing life expectancy is causing a fast ageing population around the globe, which is raising the demand on assistive systems based on ambient intelligence. While numerous papers have focused on the physical aspects in elderly, only a few works have attempted to regulate their emotional state. In this work, a new approach for monitoring and detecting the emotional state in elderly is presented. First, different physiological signals are acquired by means of wearable sensors, and data are transmitted to the embedded system. Next, noise and artifacts are removed by applying different signal processing techniques, depending on the signal behavior. Finally, several temporal and statistical markers are extracted and used to feed the classification model. In this very first version, a logistic regression model is used to detect two possible emotional states. In order to calibrate the model and adjust the boundary decision, twenty volunteers have agreed to be monitored and recorded to train the model. Finally, a decision maker regulates the environment, acting directly upon the elderly’s emotional state.

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Acknowledgments

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

Author information

Authors and Affiliations

  1. Universidad de Castilla-La Mancha, Instituto de Tecnologías Audiovisuales, 16071, Cuenca, Spain

    Arturo Martínez-Rodrigo, Roberto Zangróniz & José Manuel Pastor

  2. Universidad de Castilla-La Mancha, Instituto de Investigacin En Discapacidades Neurolgicas, 02071, Albacete, Spain

    José Miguel Latorre

  3. Universidad de Castilla-La Mancha, Instituto de Investigacin En Informitica de Albacete, 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. José Miguel Latorre

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  5. Antonio Fernández-Caballero

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Editor information

Editors and Affiliations

  1. Computer Science and Engineering Department, Qatar University, College of Engineering, Doha, Qatar

    Amr Mohamed

  2. Departamento de Informatica, ALGORITMI Centre, University of Minho, Braga, Portugal

    Paulo Novais

  3. Escola Superior de Tecnologia e Gestäo de Leiria, Instituto Politécnico de Leiria, Leiria, Portugal

    António Pereira

  4. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Gabriel Villarrubia González

  5. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

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© 2015 Springer International Publishing Switzerland

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Martínez-Rodrigo, A., Zangróniz, R., Pastor, J.M., Latorre, J.M., Fernández-Caballero, A. (2015). Emotion Detection in Ageing Adults from Physiological Sensors. In: Mohamed, A., Novais, P., Pereira, A., Villarrubia González, G., Fernández-Caballero, A. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-319-19695-4_26

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