ClusterNN: A hybrid classification approach to mobile activity recognition

S. Bashir; Daniel Doolan; Andrei Petrovski

doi:10.1145/2837126.2837140

ClusterNN: A hybrid classification approach to mobile activity recognition

S. Bashir, Daniel Doolan, Andrei Petrovski

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia
Editors	Ismail Khalil, Matthias Steinbauer, Liming Chen, Gabriele Anderst-Kotsis
Publisher	Association for Computing Machinery
Pages	263-267
Number of pages	5
ISBN (Electronic)	9781450334938
ISBN (Print)	978-1-4503-3493-8
DOIs	https://doi.org/10.1145/2837126.2837140 https://doi.org/10.1145/2837126.28371400
Publication status	Published (VoR) - 1 Dec 2015
Event	13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Brussels, Belgium Duration: 11 Dec 2015 → 13 Dec 2015

Publication series

Name	13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings

Conference

Conference	13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015
Country/Territory	Belgium
City	Brussels
Period	11/12/15 → 13/12/15

Keywords

Activity Recognition
ClusterNN
KNN
Smartphones

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Bashir, S., Doolan, D., & Petrovski, A. (2015). ClusterNN: A hybrid classification approach to mobile activity recognition. In I. Khalil, M. Steinbauer, L. Chen, & G. Anderst-Kotsis (Eds.), Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (pp. 263-267). (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/2837126.2837140, https://doi.org/10.1145/2837126.28371400

Bashir, S. ; Doolan, Daniel ; Petrovski, Andrei. / ClusterNN: A hybrid classification approach to mobile activity recognition. Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia. editor / Ismail Khalil ; Matthias Steinbauer ; Liming Chen ; Gabriele Anderst-Kotsis. Association for Computing Machinery, 2015. pp. 263-267 (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings).

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Bashir, S, Doolan, D & Petrovski, A 2015, ClusterNN: A hybrid classification approach to mobile activity recognition. in I Khalil, M Steinbauer, L Chen & G Anderst-Kotsis (eds), Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia. 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings, Association for Computing Machinery, pp. 263-267, 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015, Brussels, Belgium, 11/12/15. https://doi.org/10.1145/2837126.2837140, https://doi.org/10.1145/2837126.28371400

ClusterNN: A hybrid classification approach to mobile activity recognition. / Bashir, S.; Doolan, Daniel; Petrovski, Andrei.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia. ed. / Ismail Khalil; Matthias Steinbauer; Liming Chen; Gabriele Anderst-Kotsis. Association for Computing Machinery, 2015. p. 263-267 (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - ClusterNN: A hybrid classification approach to mobile activity recognition

AU - Bashir, S.

AU - Doolan, Daniel

AU - Petrovski, Andrei

PY - 2015/12/1

Y1 - 2015/12/1

KW - Activity Recognition

KW - ClusterNN

KW - KNN

KW - Smartphones

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DO - 10.1145/2837126.2837140

M3 - Chapter

SN - 978-1-4503-3493-8

T3 - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings

SP - 263

EP - 267

BT - Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia

A2 - Khalil, Ismail

A2 - Steinbauer, Matthias

A2 - Chen, Liming

A2 - Anderst-Kotsis, Gabriele

PB - Association for Computing Machinery

T2 - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015

Y2 - 11 December 2015 through 13 December 2015

ER -

Bashir S, Doolan D, Petrovski A. ClusterNN: A hybrid classification approach to mobile activity recognition. In Khalil I, Steinbauer M, Chen L, Anderst-Kotsis G, editors, Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia. Association for Computing Machinery. 2015. p. 263-267. (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings). doi: 10.1145/2837126.2837140, 10.1145/2837126.28371400

ClusterNN: A hybrid classification approach to mobile activity recognition

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