WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
The Rise of People-Centric Sensing
IEEE Internet Computing
Proceedings of the 6th ACM conference on Embedded network sensor systems
A framework of energy efficient mobile sensing for automatic user state recognition
Proceedings of the 7th international conference on Mobile systems, applications, and services
Sensing motion using spectral and spatial analysis of WLAN RSSI
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
A survey of mobile phone sensing
IEEE Communications Magazine
Online motion recognition using an accelerometer in a mobile device
Expert Systems with Applications: An International Journal
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Ubiquitous mobile instrumentation
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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People-centric sensing using people's smartphones offers new research opportunities for large case studies. It presents many challenges, e.g., efficient capture of person's mobility, understanding of context changes and preservation of user privacy. We propose an accurate and energy-efficient method able to capture user's mobility, thus the context changes, while preserving his/her privacy. Our solution can be applied to systems that aim to efficiently sense context on smartphones to study large scale phenomena or perform location management.