Situation fencing: Making geo-fencing personal and dynamic

Siripen Pongpaichet, Vivek K. Singh, Ramesh Jain, Alex Pentland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationPDM 2013 - Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia, Co-located with ACM Multimedia 2013
Pages3-10
Number of pages8
DOIs
StatePublished - 2013
Externally publishedYes
Event1st ACM International Workshop on Personal Data Meets Distributed Multimedia, PDM 2013 - Co-located with ACM Multimedia 2013 - Barcelona, Spain
Duration: Oct 22 2013Oct 22 2013

Publication series

NamePDM 2013 - Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia, Co-located with ACM Multimedia 2013

Other

Other1st ACM International Workshop on Personal Data Meets Distributed Multimedia, PDM 2013 - Co-located with ACM Multimedia 2013
Country/TerritorySpain
CityBarcelona
Period10/22/1310/22/13

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Software

Keywords

  • events
  • geo-fencing
  • geographic data
  • sensor networks
  • situation
  • situation recognition
  • social networks

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