Abstract
Since smart phones with diverse functionalities become the general trend, many context-aware services have been studied and launched. The services exploit a variety of contextual information in the mobile environment. Even though it has attempted to infer activities using a mobile device, it is difficult to infer human activities from uncertain, incomplete and insufficient mobile contextual information. We present a method to infer a person's activities from mobile contexts using hierarchically structured Bayesian networks. Mobile contextual information collected for one month is used to evaluate the method. The results show the usefulness of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings |
| Pages | 38-45 |
| Number of pages | 8 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2011 Nov 28 |
| Event | 18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China Duration: 2011 Nov 13 → 2011 Nov 17 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 7062 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 18th International Conference on Neural Information Processing, ICONIP 2011 |
|---|---|
| Country | China |
| City | Shanghai |
| Period | 11/11/13 → 11/11/17 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Human activity inference using hierarchical Bayesian network in mobile contexts. / Lee, Young Seol; Cho, Sung-Bae.
Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings. PART 1. ed. 2011. p. 38-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7062 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Human activity inference using hierarchical Bayesian network in mobile contexts
AU - Lee, Young Seol
AU - Cho, Sung-Bae
PY - 2011/11/28
Y1 - 2011/11/28
N2 - Since smart phones with diverse functionalities become the general trend, many context-aware services have been studied and launched. The services exploit a variety of contextual information in the mobile environment. Even though it has attempted to infer activities using a mobile device, it is difficult to infer human activities from uncertain, incomplete and insufficient mobile contextual information. We present a method to infer a person's activities from mobile contexts using hierarchically structured Bayesian networks. Mobile contextual information collected for one month is used to evaluate the method. The results show the usefulness of the proposed method.
AB - Since smart phones with diverse functionalities become the general trend, many context-aware services have been studied and launched. The services exploit a variety of contextual information in the mobile environment. Even though it has attempted to infer activities using a mobile device, it is difficult to infer human activities from uncertain, incomplete and insufficient mobile contextual information. We present a method to infer a person's activities from mobile contexts using hierarchically structured Bayesian networks. Mobile contextual information collected for one month is used to evaluate the method. The results show the usefulness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=81855172112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81855172112&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24955-6_5
DO - 10.1007/978-3-642-24955-6_5
M3 - Conference contribution
SN - 9783642249549
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 38
EP - 45
BT - Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
ER -