Ubiquitous inference of mobility state of human custodian in people-centric context sensing

TY - GEN

T1 - Ubiquitous inference of mobility state of human custodian in people-centric context sensing

AU - Gustarini, Mattia

AU - Wac, Katarzyna

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

AB - 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.

KW - Battery

KW - Context

KW - Efficiency

KW - Mobility

KW - Performance

KW - Sensing

KW - Smartphones

UR - http://www.scopus.com/inward/record.url?scp=84879477531&partnerID=8YFLogxK

M3 - Article in proceedings

AN - SCOPUS:84879477531

SN - 9781450312240

SP - 725

EP - 728

BT - UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

T2 - 14th International Conference on Ubiquitous Computing, UbiComp 2012

Y2 - 5 September 2012 through 8 September 2012

ER -