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 language | English |
|---|---|
| Pages (from-to) | 4680-4686 |
| Number of pages | 7 |
| Journal | Expert Systems with Applications |
| Volume | 37 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2010 Jun 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence
Cite this
}
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 journal › Article
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 -