ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors

Jin Hyuk Hong, Sung Ihk Yang, Sung Bae Cho

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

With the growth on the concern about context-aware applications, it becomes important to recognize and share user context. Even though there are some applications, it is still limited in managing simple contexts. In this paper, we propose a context-aware messenger application that exploits dynamic Bayesian networks to automatically infer a user's context and shares contextual information to enrich electronic communication. It collects various sensory information and displays representative user contexts such as emotion, stress, and activity in the form of icons in the messenger program.

Original languageEnglish
Pages (from-to)4680-4686
Number of pages7
JournalExpert Systems with Applications
Volume37
Issue number6
DOIs
Publication statusPublished - 2010 Jun

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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