Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
  • First Online:
Ambient Intelligence for Health (AmIHEALTH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9456))

Included in the following conference series:

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 %.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cortés, U., Urdiales, C., Annicchiarico, R.: Intelligent healthcare managing: an assistive technology approach. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 1045–1051. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Mowafey, S., Gardner, S.: A novel adaptive approach for home care ambient intelligent environments with an emotion-aware system. In: UKACC International Conference on Control, Cardiff, 3–5 September 2012, pp. 771–777 (2012)

    Google Scholar 

  3. Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in health care. Proc. IEEE 101(12), 2470–2494 (2013)

    Article  Google Scholar 

  4. García-Rodríguez, C., Martínez-Tomás, R., Cuadra-Troncoso, J.M., Rincón, M., Fernández-Caballero, A.: A simulation tool for monitoring elderly who suffer from disorientation in a smart home. Expert Syst. Accepted (2015)

    Google Scholar 

  5. Sokolova, M.V., Fernández-Caballero, A., López, M.T., Martínez-Rodrigo, A., Zangróniz, R., Pastor, J.M.: A distributed architecture for multimodal emotion identification. In: Bajo, J., Hernández, J.Z., Mathieu, P., Campbell, A., Fernández-Caballero, A., Moreno, M.N., Julián, V., Alonso Betanzos, A., Jiménez-López, M.D., Botti, V. (eds.) Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. AISC, vol. 372, pp. 125–132. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  6. Sokolova, M.V., Fernández-Caballero, A., Ros, L., Latorre, J.M., Serrano, J.P.: Evaluation of color preference for emotion regulation. In: Vicente, J.M.F., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) Artificial Computation in Biology and Medicine. LNCS, vol. 9107, pp. 479–487. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  7. Sokolova, M.V., Fernández-Caballero, A.: A review on the role of color and light in affective computing. Appl. Sci. 5(3), 275–293 (2015)

    Article  Google Scholar 

  8. Fernández-Sotos, A., Fernández-Caballero, A., Latorre, J.M.: Elicitation of emotions through music: the influence of note value. In: Vicente, J.M.F., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) Artificial Computation in Biology and Medicine. LNCS, vol. 9107, pp. 488–497. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  9. World Health Organization. Ageing and Life Course (2011)

    Google Scholar 

  10. Hanson, M.A., Powell Jr, H.C., Barth, A.T., Ringgenberg, K., Calhoun, B.H., Aylor, J.H., Lach, J.: Body area sensors networks: challenges and opportunities. IEEE Comput. Soc. 42(1), 58–65 (2009)

    Article  Google Scholar 

  11. Fernández-Caballero, A., Latorre, J.M., Pastor, J.M., Fernández-Sotos, A.: Improvement of the elderly quality of life and care through smart emotion regulation. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds.) IWAAL 2014. LNCS, vol. 8868, pp. 348–355. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  12. Koelstra, S., Muhl, C., Soleymani, M., Lee, J.-S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.: DEAP: a database for emotion analysis using physiological signals. IEEE Trans. Affect. Comput. 3(1), 18–31 (2012)

    Article  Google Scholar 

  13. Martínez-Rodrigo, A., Zangróniz, R., Pastor, J.M., Latorre, J.M., Fernández-Caballero, A.: Emotion detection in ageing adults from physiological sensors. In: Mohamed, A., Novais, P., Pereira, A., González, G.V., Fernández-Caballero, A. (eds.) Ambient Intelligence-Software and Applications, vol. 376, pp. 253–261. Springer, Switzerland (2015)

    Chapter  Google Scholar 

  14. Healey, J.A., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans. Intell. Transp. Syst. 6(2), 156–166 (2005)

    Article  Google Scholar 

  15. Veltman, J.A., Gaillard, A.W.K.: Physiological indicies of workload in a simulated flight task. Biol. Psychol. 42, 323–342 (1996)

    Article  Google Scholar 

  16. Nagamine, K., Nozawa, A., Ide, H.: Evaluation of emotions by nasal skin temperature on auditory stimulus and olfactory stimulus. IEE J. Trans. EIS 124(9), 1914–1915 (2004)

    Article  Google Scholar 

  17. Lidberg, L., Wallin, G.: Sympathhetic skin nerve discharges in relation to amplitude of skin resistance responses. Psychopysiology 18(3), 268–270 (1981)

    Article  Google Scholar 

  18. Venables, P.H., Christie, M.J.: Electrodermal activity. Techniques in Psychophysiology, pp. 3–67. Wiley, New York (2012)

    Google Scholar 

  19. Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical report A-8, University of Florida, Gainesville (2008)

    Google Scholar 

  20. Martínez-Rodrigo, A., Alcaraz, R., Rieta, J.J.: Morphological variability of the P-wave for premature envision of paroxysmal atrial fibrillation events. Physiol. Meas. 35, 1–14 (2014)

    Article  Google Scholar 

  21. Healey, J.A.: Wearable and automotive system for affect recognition from physiology. Philosophical Dissertation, Massachusetts Institute of Technology (2000)

    Google Scholar 

Download references

Acknowledgements

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. 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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Roberto Zangróniz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. José Manuel Pastor
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Antonio Fernández-Caballero
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26507-0

  • Online ISBN: 978-3-319-26508-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics