Predicting Sleeping Behaviors in Long-Term Studies with Wrist-Worn Sensor Data

  • Marko Borazio
  • Kristof Van Laerhoven
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7040)

Abstract

This paper conducts a preliminary study in which sleeping behavior is predicted using long-term activity data from a wearable sensor. For this purpose, two scenarios are scrutinized: The first predicts sleeping behavior using a day-of-the-week model. In a second scenario typical sleep patterns for either working or weekend days are modeled. In a continuous experiment over 141 days (6 months), sleeping behavior is characterized by four main features: the amount of motion detected by the sensor during sleep, the duration of sleep, and the falling asleep and waking up times. Prediction of these values can be used in behavioral sleep analysis and beyond, as a component in healthcare systems.

Keywords

sleep behavior wearable computer long-term studies 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adam, K., Oswald, I.: Sleep helps healing. British Medical Journal (Clinical research ed.) 289(6456), 1400 (1984)CrossRefGoogle Scholar
  2. 2.
    Borazio, M., Van Laerhoven, K.: Combining Wearable and Environmental Sensing into an Unobtrusive Tool for Long-Term Sleep Studies. In: 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), Miami, Florida, USA (in Press, 2012)Google Scholar
  3. 3.
    Everson, C.A., Bergmann, M., Rechtschaffen, A.: Sleep Deprivation in the Rat: III. Total Sleep Deprivation. Sleep 12(1), 13–21 (1989)Google Scholar
  4. 4.
    Gordon, S.J., Grimmer, K.A., Trott, P.: Self reported versus recorded sleep position: an observational study. Internet Journal of Allied Health Sciences and Practice 2(1) (2004)Google Scholar
  5. 5.
    Gregory, J.M., Xie, X., Mengel, S.A.: SLEEP (sleep loss effects on everyday performance) model. Aviation, Space, and Environmental Medicine 74, A125– A133 (2004)Google Scholar
  6. 6.
    Krachmann, S.L., Criner, G.J., D’Alonzo, G.E.: Sleep in the intensive care unit. Chest 107(6), 1713 (1995)CrossRefGoogle Scholar
  7. 7.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marko Borazio
    • 1
  • Kristof Van Laerhoven
    • 1
  1. 1.TU-DarmstadtGermany

Personalised recommendations