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The Vitality Bracelet: Bringing Balance to Your Life with Psychophysiological Measurements

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Advances in Physiological Computing

Abstract

We present the concept of the Vitality Bracelet, a wrist-worn device that helps users in bringing more balance in their daily life, especially a balance between stressful and relaxing situations. On the one hand, the Vitality Bracelet comprises the measurement of your skin conductance, reflecting the current level of arousal of your autonomic nervous system. These skin conductance measurements are analyzed in real-time to give an indication of upcoming tension, but they could also be recorded and visualized to present an overview of the daily or weekly tension patterns. On the other hand, the Vitality Bracelet offers paced breathing exercises, supporting instant relaxation as well as general health and vitality on the long run. This chapter describes the design, development and a first evaluation of the Vitality Bracelet concept.

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References

  • APA, American Psychological Association (2010) Stress in America findings. Available via http://www.stressinamerica.org

  • Boucsein W (1992) Electrodermal activity, 1st edn. Plenum Press, NewYork

    Book  Google Scholar 

  • Chapleau MW, Sabharwal R (2011) Methods of assessing vagus nerve activity and reflexes. Heart Fail Rev 16:109–127

    Article  Google Scholar 

  • China Daily (2010) Entrepreneurs experience heavy work stress study

    Google Scholar 

  • Clark M, Hirschman R (1990) Effects of paced respiration on anxiety reduction in a clinical population. Biofeedback Self Regul 15:273–284

    Google Scholar 

  • De Waele S, De Vries G-J, Jäger M (2009) Experiences with adaptive statistical models for biosignals in daily life. In: Proceedings of the international conference on affective computing and intelligent interaction, vol 1. (pp 710–715)

    Google Scholar 

  • Dunn BD, Dalgleish T, Ogilvie AD, Lawrence AD (2007) Heartbeat perception in depression. Behav Res Ther 45:1921–1930

    Article  Google Scholar 

  • Grossman E, Grossman A, Schein MH, Zimlichman R, Gavish B (2001) Breathing-control lowers blood pressure. J Hum Hypertens 15(4):263–269

    Article  Google Scholar 

  • Janakiramaiah N, Gangadhar BN, Naga Venkatesha Murthy PJ, et al (2000) Antidepressant efficacy of Sudarshan Kriya Yoga (SKY) in melancholia: A randomized comparison with electroconvulsive therapy (ECT) and imipramine. J Affect Disord 57:255–259

    Google Scholar 

  • Kabat-Zinn J (2003) Mindfulness-based interventions in context: past, present, and future. Clin Psychol Sci Pract 10:144–156. doi:10.1093/clipsy.bpg016

    Article  Google Scholar 

  • Kosmack Vaara E, Höök K, Tholander J (2009) Mirroring bodily experiences over time. In: Proceedings CHI EA’09 CHI’09 extended abstracts on human factors in computing systems, pp 4471–4476, ACM New York, NY, USA ©2009, ISBN: 978-1-60558-247-4

    Google Scholar 

  • Lehrer PM, Vaschillo E, Vaschillo B (2000) Resonant frequency biofeedback training to increase cardiac variability: rationale and manual for training. Appl Psychophysiol Biofeedback 25(3):177–191

    Article  Google Scholar 

  • McEwen BS (1998) Stress, adaptation, and disease: allostasis and allostatic load. Ann N Y Acad Sci 840:33–44. doi:10.1111/j.1749-6632.1998.tb09546.x

    Article  Google Scholar 

  • Ouwerkerk M (2011) Unobtrusive emotions sensing in daily life. In: Westerink J, Krans M, Ouwerkerk M (eds) Sensing emotions—the impact of context on experience measurements, Philips Resarch Book Series vol 12. Springer, Heidelberg, p 21–40

    Google Scholar 

  • Parati G, Malfatto G, Boarin S, Branzi G, Caldara G, Giglio A, Bilo G, Ongaro G, Alter A, Gavish B, Mancia G (2008) Device-guided paced breathing in the home setting: effects on exercise capacity, pulmonary and ventricular function in patients with chronic heart failure: a pilot study. Circ Heart Fail 1(3):178–183

    Google Scholar 

  • Picard RW (2011) Measuring affect in the wild. In: Proceedings of the 4th international conference on affective computing and intelligent interaction ACII’11–volume Part I. Springer, Heidelberg, p 3-3, ISBN: 978-3-642-24599-2

    Google Scholar 

  • Porges SW (2007) The polyvagal perspective. Biol Psychol 74:116–143

    Article  Google Scholar 

  • Rouse CH, Jones GE, Jones KR (1988) The effect of body composition and gender on cardiac awareness. Psychophysiology 25(4):400–407

    Article  Google Scholar 

  • Westerink J, Ouwerkerk M, De Vries GJ, De Waele S, Van den Eerenbeemd J, Van Boven M (2009) Emotion measurement platform for daily life situations. In: Proceedings 2009 international conference on affective computing and intelligent interaction, ACII 2009, Sep10–12, 2009, vol 1. Amsterdam, The Netherlands, pp 217–222

    Google Scholar 

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Acknowledgement

We would like to thank David Browning for the inspiration and support of this work.

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Westerink, J., van Beek, W., Daemen, E., Janssen, J., de Vries, GJ., Ouwerkerk, M. (2014). The Vitality Bracelet: Bringing Balance to Your Life with Psychophysiological Measurements. In: Fairclough, S., Gilleade, K. (eds) Advances in Physiological Computing. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-6392-3_9

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  • DOI: https://doi.org/10.1007/978-1-4471-6392-3_9

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6391-6

  • Online ISBN: 978-1-4471-6392-3

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