Wearable Devices and Smart Garments for Stress Management

  • Alessandra RinaldiEmail author
  • Claudia Becchimanzi
  • Francesca Tosi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 824)


Wearables are the cutting edge of electronic devices; as they are miniaturized, people can directly wear them, generating a continuous interaction with computers. The implementation of wearables in everyday life is going to change completely human behaviours. These devices create human-computer interaction potentialities that can be addressed to several directions: taking care of people, leading people to a different behaviour model for changing social dynamics, turning these ubiquitous computers into a “collective wearable”.

There is a global adoption of the preventive approach to health: it consists of measures taken for disease prevention, as opposed to disease treatment. There is also an increasing attention to security and to risk management in the sanitary field in terms of products, ergonomic communication and innovation of processes. Moreover, users demand to know their real wellness status, independently of the individual perception. It’s necessary to inform users about the biofeedback recorded by wearable devices, but it is essential to effectively communicating them to caregivers or patients.

This paper, presenting some results of interaction design research for human wellbeing and healthcare, explores tangible interfaces focused on biomedical fields: it concerns security, stress management, collection of biofeedback for preventive healthcare and also emotional issues connected with the human-computer interaction.


Interaction design Smart garments Wearable computers 


  1. 1.
    Kocielnik R, Sidorova N, Maggi FM, Ouwerkerk M, Westerink JH (2013) Smart technologies for long-term stress monitoring at work. In: 2013 IEEE 26th international symposium on computer-based medical systems (CBMS), pp 53–58. IEEEGoogle Scholar
  2. 2.
    Lang P, Bradley MM (2007) The international affective picture system (IAPS) in the study of emotion and attention. In: Handbook of emotion elicitation and assessment, p 29. Oxford University Press, New YorkGoogle Scholar
  3. 3.
    Lang PJ, Bradley MM, Cuthbert BN (1997) International affective picture system (IAPS): technical manual and affective ratings, pp 39–58. NIMH Center for the Study of Emotion and AttentionGoogle Scholar
  4. 4.
    Brown R, James C, Henderson L, Macefield VG (2012) Autonomic markers of emotional processing: skin sympathetic nerve activity in humans during exposure to emotionally charged images. Front Physiol 3:394Google Scholar
  5. 5.
    Rinaldi A (2016) Il Design dell’interazione. In: Tosi F (a cura di) La professione dell’ergonomo nella progettazione dell’ambiente, dei prodotti e dell’organizzazione. FrancoAngeli, MilanoGoogle Scholar
  6. 6.
    Rinaldi A (2016) Il design dei prodotti connessi. Rivista Italiana di Ergonomia 13(2016):18–27Google Scholar
  7. 7.
    Rinaldi A (2016) Design e interazione: dall’interazione uomo-macchina all’interazione con gli oggetti connessi. In: Rivista Italiana di Ergonomia, vol. special issue 1, pp 277–282Google Scholar
  8. 8.
    Rinaldi A (2015) Computer indossabili e indumenti smart per il design di prodotti per uno stile di vita attivo e sano per tutti. Rivista Italiana di Ergonomia 10:44–52Google Scholar
  9. 9.
    Smith BJ, Tang KC, Nutbeam D (2006) WHO health promotion glossary: new terms. Health Promot Int 21(4):340–345. Oxford University Press (2006)Google Scholar
  10. 10.
    Boucsein W (2012) Electrodermal activity. Springer Science & Business MediaGoogle Scholar
  11. 11.
    Sharma N, Gedeon T (2012) Objective measures, sensors and computational techniques for stress recognition and classification: a survey. Comput Methods Programs Biomed 108(3):1287–1301CrossRefGoogle Scholar
  12. 12.
    Paoli P, Merlié D (2001) Third European survey on working conditions 2000 Dublin. In: European foundation for the improvement of living and working conditionsGoogle Scholar
  13. 13.
    Bakker J, Holenderski L, Kocielnik R, Pechenizkiy M, Sidorova N (2012) Stress@work: from measuring stress to its understanding prediction and handling with personalized coaching. In: Proceedings of the 2nd ACM SIGHIT international health informatics symposium, pp 673–678. ACMGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alessandra Rinaldi
    • 1
    Email author
  • Claudia Becchimanzi
    • 1
  • Francesca Tosi
    • 1
  1. 1.Laboratory of Ergonomics and Design, Department of ArchitectureUniversity of FlorenceFirenzeItaly

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