Situation fencing: making geo-fencing personal and dynamic

Authors:
Siripen Pongpaichet;Vivek K. Singh;Ramesh Jain;Alex (Sandy) Pentland
Affiliations:
University of California, Irvine, Irvine, CA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA;University of California, Irvine, Irvine, CA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA
Venue:
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Year:
2013

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Abstract

Geo-fencing has recently been applied to multiple applications including media recommendation, advertisements, wildlife monitoring, and recreational activities. However current geo-fencing systems work with static geographical boundaries. Situation Fencing allows for these boundaries to vary automatically based on situations derived by a combination of global and personal data streams. We present a generic approach for situation fencing, and demonstrate how it can be operationalized in practice. The results obtained in a personalized allergy alert application are encouraging and open door for building thousands of similar applications using the same framework in near future.