Prof. Campbell Wins The ACM Sensys 2018 Test-of-Time Award

Andrew Campbell and his PhD students received the prestigious ACM SenSys 2018 Test-of-Time Award (10 year award) for their paper: “Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application”.

In 2008, when the App Store first opened Professor Campbell and his team released the CenceMe app, which implemented a machine learning algorithm directly on the iPhone for the first time to automatically detected the user’s behavior (e.g., sitting, walking, running, socializing). The app pushed this user context to Facebook and for the first time human behavior passively inferred from sensors embedded in smartphones was visible to friends in real-time.

The award citation states: “At the dawn of the smartphone era, this paper had the foresight to realize that smartphones are human companions and their sensors, collectively, can be used to derive novel social behavior insights. It also pioneered applying machine learning across local devices and servers”.

Today, activity recognition is integrated into the operating system of every Android and iPhone.

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Miluzzo E, Lane ND, Fodor K, Peterson R, Lu H, Musolesi M, Eisenman SB, Zheng X, Campbell AT. Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In Proceedings of the 6th ACM conference on Embedded network sensor systems 2008 Nov 5 (pp. 337-350). ACM.