Physiological Computing Systems

International Conferences, PhyCS 2016, Lisbon, Portugal, July 27–28, 2016, PhyCS 2017, Madrid, Spain, July 27–28, 2017, PhyCS 2018, Seville, Spain, September 19–21, 2018, Revised and Extended Selected Papers

  • Andreas Holzinger
  • Alan Pope
  • Hugo  Plácido da Silva
Conference proceedings PhyCS 2016, PhyCS 2017, PhyCS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10057)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10057)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Athanasios Vourvopoulos, André Ferreira, Sergi Bermudez i Badia
    Pages 1-22
  3. Jean-François Gagnon, Olivier Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay
    Pages 23-38
  4. Afonso Gonçalves, Filipa Nóbrega, Mónica Cameirão, John E. Muñoz, Élvio Gouveia, Sergi Bermudez i Badia
    Pages 58-77
  5. Roylán Quesada-Tabares, Alberto J. Molina-Cantero, José I. Escudero-Fombuena, Manuel Merino-Monge, Isabel M. Gómez-González, Clara Lebrato-Vázquez et al.
    Pages 78-92
  6. Cristina Soguero-Ruiz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
    Pages 110-129
  7. Morgane Hamon, Léo Cousin, Rémy Ramadour, Jérémy Frey
    Pages 130-157
  8. Panagiotis Tsinganos, Bruno Cornelis, Jan Cornelis, Bart Jansen, Athanassios Skodras
    Pages 180-197
  9. Hélio B. M. Lourenço, Víctor Sanfins, Fernando Torgal, Sílvia Ala, Manuel J. C. S. Reis, Hugo P. Silva et al.
    Pages 198-217
  10. Back Matter
    Pages 239-239

About these proceedings


This book constitutes the proceedings of the Third International Conference on Physiological Computing Systems, PhyCS 2016, held in Lisbon, Portugal, in July 2016.
The 12 papers presented in this volume were carefully reviewed and selected from numerous submissions. They contribute to the understanding of relevant trends of current research on physiological computing systems, including brain-computer interfaces, virtual reality, psychophysiological load assessment in unconstrained scenarios, body tracking and movement pattern recognition, emotion recognition, machine learning applied to diabetes and hypertension, tangible biofeedback technologies, multimodal sensor data fusion, and deep learning for hand gesture recognition.


accessibility affective computing artificial intelligence biomedical engineering computer networks computer vision health informatics human factors human-centered computing human-computer interaction Human-Computer Interaction (HCI) image analysis information systems physiological data sensors special-purpose and application-based systems usability user interfaces virtual reality

Editors and affiliations

  1. 1.Medical University of GrazGrazAustria
  2. 2.NASA Langley Research CenterHamptonUSA
  3. 3.IT - Instituto de TelecomunicaçõesLisbonPortugal

Bibliographic information