A mobile context sharing system using activity and emotion recognition with Bayesian networks

Keunhyun Oh, Han Saem Park, Sung Bae Cho

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

22 Citations (Scopus)

Abstract

With the recent popularization of smart phones, context sharing systems in mobile environment attract attention of people. Mobile context sharing systems can share more information than web-based social network services because they have various sensors. For sharing high-level contexts such as activity and emotion, a user had to manually annotate them in previous works. This paper proposes a mobile context sharing system that can recognize high-level contexts automatically by using Bayesian networks based on collected mobile logs. We have implemented the ContextViewer application which consists of a phonebook and a map browser to prove the feasibility of the proposed system. Also, we have confirmed that the proposed system is useful, by evaluating Bayesian networks and performing the SUS test.

Original languageEnglish
Title of host publicationProceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010
Pages244-249
Number of pages6
DOIs
Publication statusPublished - 2010
EventSymposia and Workshops Held in Conjunction with the 7th International Conference on Ubiquitous Intelligence and Computing, UIC 2010 and the 7th International Conference on Autonomic and Trusted Computing, ATC 2010 - Xi'an, China
Duration: 2010 Oct 262010 Oct 29

Publication series

NameProceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010

Other

OtherSymposia and Workshops Held in Conjunction with the 7th International Conference on Ubiquitous Intelligence and Computing, UIC 2010 and the 7th International Conference on Autonomic and Trusted Computing, ATC 2010
Country/TerritoryChina
CityXi'an
Period10/10/2610/10/29

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Software

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