Abstract
Mobile sensing has become a growing area of research in pervasive healthcare. In this paper we present mk-sense, an open framework for mobile sensing on smartphones. mk-sense is an initiative to reduce the efforts of researchers involved in multi-institutional sensing campaign. It is designed to facilitate the collaboration of researchers that run simultaneous data collection efforts in different locations. We illustrate the use of mk-sense with two cross-cultural studies conducted in four different countries (Turkey, Mexico, Switzerland, and Spain) with a total of 77 participants. In this paper, we describe the challenges and experience of conducting research in the wild by using mk-sense as sensing platform. Finally, we present how the conducted studies influenced the design decisions of mk-sense, including features, and tools to monitor data gathering in real-time.
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References
The Economist. Planet of the phones, February 2015. http://goo.gl/qoX2cc
TC Media. Google announces 1.4 billion Android activations, September 2015. http://goo.gl/buxpwO
Silva, T.H., Vaz de Melo, P.O.S., Almeida, J.M., Salles, J., Loureiro, A.A.F.: Revealing the city that we cannot see. ACM Trans. Internet Technol. 14, 1–23 (2014)
Eagle, N., (Sandy) Pentland, A.: Reality mining: sensing complex social systems. Pers. Ubiquitous Comput. 10, 255–268 (2005)
Bengtsson, L., Lu, X., Thorson, A., Garfield, R., von Schreeb, J.: Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti. PLoS Med. 8, e1001083 (2011)
Brownstein, J.S., Freifeld, C.C., Madoff, L.C.: Digital disease detection–harnessing the Web for public health surveillance. N. Engl. J. Med. 360, 2153–2155, 2157 (2009)
Das, T., Mohan, P., Padmanabhan, V.N., Ramjee, R., Sharma, A.: PRISM: platform for remote sensing using smartphones. In: Proceeding of 8th International Conference Mobile Systems, Applications, and Services, MobiSys 2010, pp. 63–76 (2010)
Nandugudi, A., Maiti, A., Ki, T., Bulut, F., Demirbas, M., Kosar, T., Qiao, C., Ko, S.Y., Challen, G.: PhoneLab: a large programmable smartphone testbed. In: Proceedings of First International Workshop on Sensing and Big Data Mining, pp. 1–6 (2013)
Froehlich, J., Chen, M.Y., Consolvo, S., Harrison, B., Landay, J.A.: MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. In: Proceedings of the 5th International Conference on Mobile Systems, Applications and Services, pp. 57–70. ACM, New York (2007)
Aharony, N., Gardner, A., Sumter, C., Pentland, A.: Funf: Open Sensing Framework (2011). http://funf.media.mit.edu
Hernández, N., et al.: Thought and life logging: a pilot study. In: García-Chamizo, J.M., Fortino, G., Ochoa, S.F. (eds.) UCAmI 2015. LNCS, vol. 9454, pp. 26–36. Springer, Heidelberg (2015). doi:10.1007/978-3-319-26401-1_3
Acknowledgment
We thank the participants of the two sensing campaigns described in the paper for contributing their time and effort in making them successful. This work was partially funded by (1) the Co-Funded Brain Circulation Scheme Project “Pervasive Healthcare: Towards Computational Networked Life Science” (TÜBITAK Co-Circ 2236, Grant agreement number: 112C005) supported by TÜBİTAK and EC FP7 Marie Curie Action COFUND and (2) the EC FP7 Marie Curie Action “UBIHEALTH - Exchange of Excellence in Ubiquitous Computing Technologies to Address Healthcare Challenges” (Project number 316337).
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Hernández, N. et al. (2016). mk-sense: An Extensible Platform to Conduct Multi-institutional Mobile Sensing Campaigns. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_21
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DOI: https://doi.org/10.1007/978-3-319-48746-5_21
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