Utilizing mobile devices for gaining a better understanding of one’s surrounding, physiological state and overall behavior has been argued for in many previous works. Despite the increasing usage of mobile devices for research in this space, few platforms developed are readily available for supporting the wider research community. This paper presents a mobile sensing platform that allows for exploiting the latest and ever-increasing capabilities residing in mobile devices. While we highlight the main design and implementation characteristics of this solution, we also outline our experiences with this platform for typical usage scenarios in lifestyle management.


mobile sensing gateway platform lifestyle management context awareness 


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  1. 1.
    Raento, M., Oulasvirta, A., Petit, R., Toivonen, H.: ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications. IEEE Pervasive Computing 04(2), 51–59 (2005)CrossRefGoogle Scholar
  2. 2.
    Trossen, D., Pavel, D.: NORS: An Open Source Platform to Facilitate Participatory Sensing with Mobile Phones. In: Conference on Mobile and Ubiquitous Systems: Networking and Services (2007)Google Scholar
  3. 3.
    Siewiorek, D., Smailagic, A., Furukawa, J., Krause, A., Moraveji, N., Reiger, K., Shaffer, J., Wong, F.L.: SenSay: A Context-Aware Mobile Phone. In: Seventh IEEE International Symposium on Wearable Computers (2003)Google Scholar
  4. 4.
    Sung, M., Pentland, A.: LiveNet: Health and Lifestyle Networking Through Distributed Mobile Devices. In: Workshop on Applications of Mobile Embedded Systems, MobiSys (2004)Google Scholar
  5. 5.
  6. 6.
    Endomondo (2012),
  7. 7.
    Carloni, L.P., De Bernardinis, F., Pinello, C., Sangiovanni-Vincentelli, A.L., Sgroi, M.: Platform-Based Design for Embedded Systems. The Embedded Systems Handbook (2005)Google Scholar
  8. 8.
    Trossen, D., Pavel, D., Singh, J., Bacon, J., Guild, K.M.: Information-centric Pervasive Healthcare Platforms. In: Pervasive Health Conference (2010)Google Scholar
  9. 9.
    Alive Technologies, “Alive Heart and Activity Monitor” (2010),
  10. 10.
  11. 11.
  12. 12.
    Philips Lifeline solutions (2010),
  13. 13.
  14. 14.
  15. 15.
    CardioNet patient solutions (2010),
  16. 16.
    Rachuri, K.K., Rentfrow, P.J., Musolesi, M., Longworth, C., Mascolo, C., Aucinas, A.: EmotionSense: A Mobile Phones based Adaptive Platform for Experimental Social Psychology Research. In: ACM Ubicomp (2010)Google Scholar
  17. 17.
    PAL project (2012),
  18. 18.
    Pavel, D., Callaghan, V., Dey, A.K.: Supporting Wellbeing Through Improving Interactions and Understanding in Self-Monitoring Systems. In: Handbook of Ambient Assisted Living – Technology for Healthcare, Rehabilitation and Well-Being, vol. 11. IOS Press (2012)Google Scholar
  19. 19.
    Wikipedia, “Wardriving” (2012),
  20. 20.
    Android Developer online resources (2012),
  21. 21.
    Lane, N.D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A.T.: A Survey of Mobile Phone Sensing. Comm. Mag. 48, 140–150 (2010)CrossRefGoogle Scholar
  22. 22.
    AIRS: Android Remote Sensing platform (2012),
  23. 23.
    SENSEI FP7 project (2012),

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Dirk Trossen
    • 1
  • Dana Pavel
    • 2
  1. 1.Cambridge University CambridgeUK
  2. 2.University of Essex ColchesterUK

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