skip to main content
10.1145/2030112.2030162acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
research-article

Sundroid: solar radiation awareness with smartphones

Published:17 September 2011Publication History

ABSTRACT

While the sun is important for our health, overexposure to sunlight carries significant health risks ranging from sunburn to skin cancer. Although people know about these risks, sunlight related skin damages have increased over the past decades. We have conducted a survey that sheds light on this phenomenon and suggests that the missing natural sense for UV radiation negatively influences people's sun related behavior. To address this issue, we have implemented Sundroid. Sundroid measures the incident UV radiation using a body-worn sensing unit that communicates wirelessly with the user's smartphone. The phone thereby acts as a user interface to present the measured data in an intuitive manner, and to notify the user once a critical amount of sunlight has been reached. Sundroid can also be applied in other contexts, such as behavioral research or medicine. We show that after calibration, errors are within 5% compared to a high-precision reference signal.

References

  1. M. Allen and R. McKenzie. Dosimeter badges to monitor personal UV doses. In NIWA UV Workshop, 2010.Google ScholarGoogle Scholar
  2. A. Armstrong, A. Watson, M. Makredes, J. Frangos, A. Kimball, and J. Kvedar. Text-message reminders to improve sunscreen use: a randomized, controlled trial using electronic monitoring. Archives of dermatology, 145(11):1230, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  3. D. E. Brash, J. A. Rudolph, J. A. Simon, A. Lin, G. J. Mckenna, H. P. Baden, A. J. Halperin, and J. Ponten. A role for sunlight in skin cancer: UV-induced p53 mutations in squamous cell carcinoma. Proceedings of the National Academy of Sciences of the United States of America, 88(22):10124--10128, 1991.Google ScholarGoogle ScholarCross RefCross Ref
  4. J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and M. Srivastava. Participatory sensing. In WSW, 2006.Google ScholarGoogle Scholar
  5. G. Chen, B. Yan, M. Shin, D. Kotz, and E. Berke. MPCS: Mobile-phone based patient compliance system for chronic illness care. In MobiQuitous, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  6. S. David. Personal UV Dosimeter Badges: Mark II. In NIWA UV Workshop, 2010.Google ScholarGoogle Scholar
  7. F. de Gruijl, H. Sterenborg, P. Forbes, R. Davies, C. Cole, G. Kelfkens, H. van Weelden, H. Slaper, and J. van der Leun. Wavelength dependence of skin cancer induction by ultraviolet irradiation of albino hairless mice. Cancer research, 53(1):53, 1993.Google ScholarGoogle Scholar
  8. A. Dey and G. Abowd. Cybreminder: A context-aware system for supporting reminders. In HUC, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. B. Diffey, M. Kerwin, and A. Davis. The anatomical distribution of sunlight. British Journal of Dermatology, 97(4):407--410, 1977.Google ScholarGoogle ScholarCross RefCross Ref
  10. S. Forjuoh, M. Reis, G. Couchman, and M. Ory. Improving Diabetes Self-Care with a PDA in Ambulatory Care. Telemedicine and e-Health, 14(3):273--279, 2008.Google ScholarGoogle Scholar
  11. J. Gröbner, D. Pavel, H. G., and B. M. Effect of snow albedo and topography on UV radiation. In NIWA UV Workshop, 2010.Google ScholarGoogle Scholar
  12. J. Heydenreich and H. Wulf. Miniature Personal Electronic UVR Dosimeter with Erythema Response and Time-stamped Readings in a Wristwatch. Photochemistry and photobiology, 2005.Google ScholarGoogle Scholar
  13. J. Ho and S. Intille. Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. In CHI, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. C. Holman, I. Gibson, S. M., and B. Armstrong. Ultraviolet irradiation of human body sites in relation to occupation and outdoor activity: field studies using personal UVR dosimeters. Clinical and Experimental Dermatology, 8(3):269--277, 1983.Google ScholarGoogle ScholarCross RefCross Ref
  15. G. Horneck. Quantification of the biological effectiveness of environmental UV radiation. Journal of Photochemistry and Photobiology B: Biology, 31(1-2):43--49, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  16. F. Im, A. Eisen, K. Wolff, A. Kf, G. La, and S. Katz. Fitzpatrick's dermatology in general medicine, 2000.Google ScholarGoogle Scholar
  17. A. Kessell and C. Chan. Castaway: a context-aware task management system. In CHI, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. O. Kwon and S. Choi. Applying associative theory to need awareness for personalized reminder system. Expert Systems with Applications, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. I. Li, A. Dey, and J. Forlizzi. A stage-based model of personal informatics systems. In CHI '10: Proceedings of the 28th international conference on Human factors in computing systems, pages 557--566. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. A. Logan, W. McIsaac, A. Tisler, M. Irvine, A. Saunders, A. Dunai, C. Rizo, D. Feig, M. Hamill, M. Trudel, et al. Mobile Phone-Based Remote Patient Monitoring System for Management of Hypertension in Diabetic Patients. American journal of hypertension, 20(9):942--948, 2007.Google ScholarGoogle Scholar
  21. P. Ludford, D. Frankowski, K. Reily, K. Wilms, and L. Terveen. Because I carry my cell phone anyway: functional location-based reminder applications. In CHI, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. J. Lundell, T. Hayes, S. Vurgun, U. Ozertem, J. Kimel, J. Kaye, F. Guilak, and M. Pavel. Continuous activity monitoring and intelligent contextual prompting to improve medication adherence. In EMBS, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  23. E. Miluzzo, N. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. Eisenman, X. Zheng, and A. Campbell. Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In SenSys, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. M. Moehrle, B. Dennenmoser, and C. Garbe. Continuous long-term monitoring of UV radiation in professional mountain guides reveals extremely high exposure. International Journal of Cancer, 103(6):775--778, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  25. M. Morón, J. Luque, A. Botella, E. Cuberos, E. Casilari, and A. Díaz-Estrella. J2ME and smart phones as platform for a Bluetooth Body Area Network for Patient-telemonitoring. In EMBS, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  26. L. Nachman, A. Baxi, S. Bhattacharya, V. Darera, P. Deshpande, N. Kodalapura, V. Mageshkumar, S. Rath, J. Shahabdeen, and R. Acharya. Jog Falls: A Pervasive Healthcare Platform for Diabetes Management. Pervasive Computing, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. S. Nylander, T. Lundquist, A. Brännström, and B. Karlson. "It's Just Easier with the Phone"--A Diary Study of Internet Access from Cell Phones. Pervasive Computing, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. H. Pinnock, R. Slack, C. Pagliari, D. Price, and A. Sheikh. Understanding the potential role of mobile phone-based monitoring on asthma self-management: qualitative study. Clinical & Experimental Allergy, 37(5):794--802, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  29. E. D. Pleasance et al. A comprehensive catalogue of somatic mutations from a human cancer genome. Nature, 463(7278):191--196, Dec. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  30. H. W. Rogers, M. A. Weinstock, A. R. Harris, M. R. Hinckley, S. R. Feldman, A. B. Fleischer, and B. M. Coldiron. Incidence Estimate of Nonmelanoma Skin Cancer in the United States, 2006. Arch Dermatol, 146(3):283--287, Mar. 2010.Google ScholarGoogle ScholarCross RefCross Ref
  31. R. Setlow. The wavelengths in sunlight effective in producing skin cancer: a theoretical analysis. Proc. of the National Academy of Sciences of the United States of America, 71(9):3363, 1974.Google ScholarGoogle ScholarCross RefCross Ref
  32. D. Siewiorek, A. Smailagic, J. Furukawa, A. Krause, N. Moraveji, K. Reiger, J. Shaffer, and F. Wong. Sensay: A context-aware mobile phone. In Wearable Computers, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. M. Sneyd and B. Cox. The control of melanoma in New Zealand. Journal of the New Zealand Medical Association, 119:1242, 2006.Google ScholarGoogle Scholar
  34. T. Sohn, K. Li, G. Lee, I. Smith, J. Scott, and W. Griswold. Place-its: A study of location-based reminders on mobile phones. UbiComp, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. S. Sultan and P. Mohan. myDR: Improving the Self-Care Process for Caribbean Patients with Diabetes through Mobile Learning. International Journal of Education and Development using Information and Communication Technologies, 5(4), 2009.Google ScholarGoogle Scholar
  36. E. Thieden, P. A. Philipsen, J. Sandby-Moller, and H. C. Wulf. Sunburn related to uv radiation exposure, age, sex, occupation, and sun bed use based on time-stamped personal dosimetry and sun behavior diaries. Arch Dermatol, 141(4), 2005.Google ScholarGoogle Scholar
  37. D. Trossen and D. Pavel. Building a ubiquitous platform for remote sensing using smartphones. In MobiQuitous, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Sundroid: solar radiation awareness with smartphones

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
        September 2011
        668 pages
        ISBN:9781450306300
        DOI:10.1145/2030112

        Copyright © 2011 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 17 September 2011

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate764of2,912submissions,26%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader