A hierarchical back-end architecture for smartphone sensing
Proceedings of the 2012 ACM Research in Applied Computation Symposium
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Despite people's central role within smartphone sensing, such systems remain largely oblivious to the effects of social networks and community dynamics. How might smartphone sensing systems change if they could see more than isolated individuals? What if sensing systems could not only understand these social effects but could leverage them in their day-to-day operations — for example, as they collect and interpret mobile sensor data?