Mobile and People-centric Systems and Sensing
The design of mobile devices that collect and reason over people-centric data raise a unique combination of sensing, networking and systems challenges. We study how to achieve high-fidelity privacy-preserving continuous mobile sensing of a rich cross-section of the lives of both individuals and groups (e.g., health, workplaces, social interactions). Primarily, this activity considers how such goals can be accomplished through a mix of innovation spanning: networking, protocols and cloud resources; learning and systems algorithms; and, hardware/sensor design.
Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios
Ettore Ferranti and Niki Trigoni
In ICRA08‚ IEEE International Conference on Robotics and Automation. IEEE. May, 2008.
Encounter Based Sensor Tracking
Andrew Symington and Niki Trigoni
In The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2012). June, 2012.
Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement
Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni
In The 5th International Conference on Indoor Positioning and Indoor Navigation. Busan‚ Korea. 2014.