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Unformatted text preview: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application Emiliano Miluzzo , Nicholas D. Lane , Kristf Fodor , Ronald Peterson , Hong Lu , Mirco Musolesi , Shane B. Eisenman , Xiao Zheng , Andrew T. Campbell Computer Science, Dartmouth College, Hanover, NH 03755, USA Electrical Engineering, Columbia University, New York, NY 10027, USA ABSTRACT We present the design, implementation, evaluation, and user experiences of the CenceMe application, which represents the first system that combines the inference of the pres- ence of individuals using off-the-shelf, sensor-enabled mobile phones with sharing of this information through social net- working applications such as Facebook and MySpace. We discuss the system challenges for the development of soft- ware on the Nokia N95 mobile phone. We present the de- sign and tradeoffs of split-level classification, whereby per- sonal sensing presence (e.g., walking, in conversation, at the gym) is derived from classifiers which execute in part on the phones and in part on the backend servers to achieve scal- able inference. We report performance measurements that characterize the computational requirements of the software and the energy consumption of the CenceMe phone client. We validate the system through a user study where twenty two people, including undergraduates, graduates and fac- ulty, used CenceMe continuously over a three week period in a campus town. From this user study we learn how the system performs in a production environment and what uses people find for a personal sensing system. Categories and Subject Descriptors: C.2.1 [Network Architecture and Design]: Wireless Communications; J.4 [Social and Behavioral Sciences]: Sociology. General Terms: Design, Experimentation, Performance. Keywords: Applications, Social Networks, Mobile Phones. 1. INTRODUCTION One of the most common text messages people send each other today is where r u? followed by what u doing?. With the advent of powerful and programmable mobile phones, most of which include a variety of sensing components (e.g., accelerometers, GPS, proximity sensors, microphone, cam- Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. SenSys08, November 57, 2008, Raleigh, North Carolina, USA....
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.
- Spring '08