Skip to main content

An Intelligent Pen to Assess Anxiety Levels Through Pressure Sensors and Fuzzy Logic

  • Conference paper
  • First Online:
Book cover Advances in Human Factors in Wearable Technologies and Game Design (AHFE 2017)

Abstract

Anxiety is a physiological state of activation, which is commonly measured using direct or indirect methods. In psychology, the tools used to obtain information about the state of anxiety in a subject are commonly, self-reports, which represent how the person perceives his or her own physiological and cognitive state of anxiety. Additionally, anxiety has been tested on graphics tests, which evaluate the characteristics of strokes, such as the pressure exerted by the pen or the oscillation of the line. These characteristics are measured in an indirect and, in certain way, subjective manner; thus it is necessary to develop objective tools that throw specific and directly measurable data. For these reasons in this paper, we present an intelligent pen that has the objective of providing a presumptive diagnosis of anxiety levels that presents a person (especially students of middle and higher education). The pen uses an electronic device to measure two pressure levels (at pen tip and pen body) and an inference system based on fuzzy logic. This prototype has been tested with 9 volunteers in an experiment consisting in two stages: a first under simulated stress condition, and a second under normal writing.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhang, J., Xiong, H., Huang, Y., Wu, H., Leach, K., Barnes, L.E.: M-SEQ: early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. In: 2015 IEEE International Conference on Big Data (Big Data), pp. 2569–2577 (2015)

    Google Scholar 

  2. Galli, F.: Headache and anxiety/mood disorders: are we trapped in a cul-de-sac? J. Headache Pain 18, 6 (2017)

    Article  Google Scholar 

  3. Cho, S.J., Hong, J.P., Lee, J.Y., Im, J.S., Na, K.S., Park, J.E., Cho, M.J.: Association between DSM-IV anxiety disorders and suicidal behaviors in a community sample of South Korean adults. Psychiatry Invest. 13, 595–600 (2016)

    Article  Google Scholar 

  4. Pérez, V.M.O.: Ansiedad en estudiantes universitarios: estudio de una muestra de alumnos de la Facultad de Educación. Revista de la Facultad de Educación de Albacete 29, 63–78 (2014)

    Google Scholar 

  5. Organización Panamericana de la Salud. http://www.paho.org/salud-en-las-americas-2012/index.php?id=40%3Aecuador&option=com_content

  6. Riley-Doucet, C., Debnath, D., Elhajj, I.H.: U.S. Patent Application No. 12/287,840 (2008)

    Google Scholar 

  7. Kulic, D., Croft, E.: Anxiety detection during human-robot interaction. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2005, pp. 616–621 (2005)

    Google Scholar 

  8. Miranda, D., Calderón, M., Favela, J.: Anxiety detection using wearable monitoring. In: Proceedings of the 5th Mexican Conference on Human-Computer Interaction (2014)

    Google Scholar 

Download references

Acknowledgments

This work was funded by the Cátedra UNESCO Tecnologías de Apoyo para la Inclusión Educativa and the research project “Sistemas Inteligentes de Soporte a la Educación Especial (SINSAE v4)” of the Universidad Politécnica Salesiana.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cristian Tapia-Jaya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Tapia-Jaya, C., Ojeda-Zamalloa, I., Robles-Bykbaev, V., Pesántez-Avilés, F., Becerra, I.S.A., Wong, V.C.L. (2018). An Intelligent Pen to Assess Anxiety Levels Through Pressure Sensors and Fuzzy Logic. In: Ahram, T., Falcão, C. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-60639-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60639-2_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60638-5

  • Online ISBN: 978-3-319-60639-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics