Abstract | ||
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Smartphones are powerful sensing devices that can help us capture not only information from the environment, but also the users' activities. Based on that information, mobile systems can identify the user's behavioural patterns and adjust their services to better fit his needs. This paper presents a software infrastructure, named Collaborative Sensing Platform (CoSP), which facilitates the automatic collection and collaborative distribution of the data gathered from smartphone sensors. CoSP also helps to save energy during the sensing and data sharing processes. This platform was evaluated empirically in a laboratory experiment. The preliminary results indicate that this infrastructure is useful not only for data gathering and sharing, but also for reducing the battery consumption involved in the sensing tasks. |
Year | DOI | Venue |
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2015 | 10.1109/CSCWD.2015.7230989 | Computer Supported Cooperative Work in Design |
Keywords | Field | DocType |
groupware,mobile computing,CoSP,battery consumption reduction,collaborative sensing platform,mobile applications,smartphones,user behavioural patterns,collaborative sensing,mobile collaboration,smartphone-based sensing,user modelling | Mobile computing,Data collection,Collaborative software,Computer science,Data sharing,Laboratory experiment,Human–computer interaction,Software,Global Positioning System,Humanoid robot,Distributed computing,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-4799-2001-3 | 1 | 0.37 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Esunly Medina | 1 | 65 | 7.11 |
Lopez, D. | 2 | 1 | 0.37 |
Royo, D. | 3 | 2 | 0.72 |
Meseguer, R. | 4 | 25 | 10.74 |
David Andres Lopez Nuevo | 5 | 2 | 1.08 |
Dolors Royo Valles | 6 | 60 | 7.20 |
Sergio F. Ochoa | 7 | 823 | 93.70 |