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 journalArticle

28 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 1

Fingerprint

Bayesian networks
Communication
Wearable sensors

All Science Journal Classification (ASJC) codes

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

Cite this

@article{491e05ecc7764fcb83c211e4ec081a9c,
title = "ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors",
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.",
author = "Hong, {Jin Hyuk} and Yang, {Sung Ihk} and Cho, {Sung Bae}",
year = "2010",
month = "6",
day = "1",
doi = "10.1016/j.eswa.2009.12.040",
language = "English",
volume = "37",
pages = "4680--4686",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier Limited",
number = "6",

}

ConaMSN : A context-aware messenger using dynamic Bayesian networks with wearable sensors. / Hong, Jin Hyuk; Yang, Sung Ihk; Cho, Sung Bae.

In: Expert Systems with Applications, Vol. 37, No. 6, 01.06.2010, p. 4680-4686.

Research output: Contribution to journalArticle

TY - JOUR

T1 - ConaMSN

T2 - A context-aware messenger using dynamic Bayesian networks with wearable sensors

AU - Hong, Jin Hyuk

AU - Yang, Sung Ihk

AU - Cho, Sung Bae

PY - 2010/6/1

Y1 - 2010/6/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77249087038&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77249087038&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2009.12.040

DO - 10.1016/j.eswa.2009.12.040

M3 - Article

AN - SCOPUS:77249087038

VL - 37

SP - 4680

EP - 4686

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 6

ER -