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Using Contactless Heart Rate Measurements for Real-Time Assessment of Affective States

In: Information Systems and Neuroscience

Author

Listed:
  • Philipp V. Rouast

    (Karlsruhe Institute of Technology)

  • Marc T. P. Adam

    (University of Newcastle)

  • David J. Cornforth

    (University of Newcastle)

  • Ewa Lux

    (Karlsruhe Institute of Technology)

  • Christof Weinhardt

    (Karlsruhe Institute of Technology)

Abstract

Heart rate measurements contain valuable information about a person’s affective state. There is a wide range of application domains for heart rate-based measures in information systems. To date, heart rate is typically measured using skin contact methods, where users must wear a measuring device. A non-contact and easy to use mobile approach, allowing heart rate measurements without interfering with the users’ natural environment, could prove to be a valuable NeuroIS tool. Hence, our two research objectives are (1) to develop an application for mobile devices that allows for non-contact, real-time heart rate measurement and (2) to evaluate this application in an IS context by benchmarking the results of our approach against established measurements. The proposed algorithm is based on non-contact photoplethysmography and hence takes advantage of slight skin color variations that occurs periodically with the user’s pulse.

Suggested Citation

  • Philipp V. Rouast & Marc T. P. Adam & David J. Cornforth & Ewa Lux & Christof Weinhardt, 2017. "Using Contactless Heart Rate Measurements for Real-Time Assessment of Affective States," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 157-163, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-41402-7_20
    DOI: 10.1007/978-3-319-41402-7_20
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    Cited by:

    1. Théophile Demazure & Alexander Karran & Pierre-Majorique Léger & Élise Labonté-LeMoyne & Sylvain Sénécal & Marc Fredette & Gilbert Babin, 2021. "Enhancing Sustained Attention," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(6), pages 653-668, December.

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