Title: Long-Term Monitoring of Human Mobility on Smartphones
Abstract: Contemporary smartphones are capable of providing rich and detailed information about human mobility. The localization capabilities of the devices enable us to obtain information about the places people visit and the routes they take, whereas other sensing capabilities can provide information, e.g., about the people they travel with and the transportation means they use. Typically, the more detailed the information the mobility monitoring provides, the higher its energy cost is, making the design of energy-efficient mechanisms for monitoring human mobility an important challenge. This talk introduces some of our previous work on energy-efficient monitoring of different facets of human mobility. These include energy-efficient designs for monitoring user position , trajectories , and transportation modes .
 P. Nurmi, S. Bhattcharya, J. Kukkonen, “A Grid-Based Algorithm for On-Device GSM Positioning”, in Proceedings of the 12th International Conference on Ubiquitous Computing (Ubicomp 2010), ACM, 2010.
 M. B. Kjaergaard, S. Bhattacharya, H. Blunck, P. Nurmi, “Energy-efficient Trajectory Tracking for Mobile Devices”, in Proceedings of the 9th International Conference on Mobile Systems, Applications and Services (MobiSys 2011), ACM, 2011.
 S. Hemminki, P. Nurmi, S. Tarkoma,”Accelerometer-Based Transportation Mode Detection on Smartphones”, Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013).
Bio: Petteri Nurmi is a Senior Researcher at Helsinki Institute for Information Technology HIIT and University of Helsinki where he is leading the Ubiquitous Sensing research group. He obtained his PhD in 2009 from the Department of Computer Science, University of Helsinki, where he is a Docent of Computer Science since 2012. His research interests include mobile sensing, adaptive interfaces, and ubiquitous computing in general.