Abstract
In mobile sensing, modern phones allow researchers obtain the information about the participants and their surroundings in a precise, unobtrusive, unbiased, and timely way. However, obtaining this information is just the first step of the research work, concentrating, processing, and giving meaning to the collected data also require a considerable amount of effort. In this work, we present a platform that addresses the aforementioned activities by providing a means to obtain data through sensors of a mobile phone and process those data in the mobile phone, prior to sending them to an online repository.
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A sensing campaign is a planned enterprise for collecting data from end users, typically through a research protocol. A sensing campaign defines what data are to be captured and when. That is, what sensors are needed, how and when these sensors will be used, and if there are going to be some processing of the collected data in the mobile device.
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Acknowledgements
This work was partially funded by National Council for Science and Technology in Mexico (CONACYT), and the Sonora Institute of Technology (ITSON).
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Félix, I.R., Castro, L.A., Rodríguez, LF., Ruíz, E.C. (2016). Component-Based Model for On-Device Pre-processing in Mobile Phone 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_20
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DOI: https://doi.org/10.1007/978-3-319-48746-5_20
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