Standard
On-line trajectory classification. /
Sas, Corina; O'Hare, G.; Reilly, R.
International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.. Vol. LNCS 2 Springer Verlag, 2003. p. 1035-1044.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Harvard
Sas, C, O'Hare, G & Reilly, R 2003,
On-line trajectory classification. in
International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.. vol. LNCS 2, Springer Verlag, pp. 1035-1044.
APA
Sas, C., O'Hare, G., & Reilly, R. (2003).
On-line trajectory classification. In
International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment. (Vol. LNCS 2, pp. 1035-1044). Springer Verlag.
Vancouver
Sas C, O'Hare G, Reilly R.
On-line trajectory classification. In International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.. Vol. LNCS 2. Springer Verlag. 2003. p. 1035-1044
Author
Sas, Corina ; O'Hare, G. ; Reilly, R. /
On-line trajectory classification. International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.. Vol. LNCS 2 Springer Verlag, 2003. pp. 1035-1044
Bibtex
@inbook{0481b5b3ad2342be918ba0486f82cf97,
title = "On-line trajectory classification",
abstract = "This study proposes a modular system for clustering on-line motion trajectories obtained while users navigate within a virtual environment. It presents a neural network simulation that gives a set of five clusters which help to differentiate users on the basis of efficient and inefficient navigational strategies. The accuracy of classification carried out with a self-organizing map algorithm was tested and improved to above 85% by using learning vector quantization. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction are discussed.",
keywords = "cs_eprint_id, 2107 cs_uid, 391",
author = "Corina Sas and G. O'Hare and R. Reilly",
year = "2003",
language = "English",
volume = "LNCS 2",
pages = "1035--1044",
booktitle = "International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.",
publisher = "Springer Verlag",
}
RIS
TY - CHAP
T1 - On-line trajectory classification
AU - Sas, Corina
AU - O'Hare, G.
AU - Reilly, R.
PY - 2003
Y1 - 2003
N2 - This study proposes a modular system for clustering on-line motion trajectories obtained while users navigate within a virtual environment. It presents a neural network simulation that gives a set of five clusters which help to differentiate users on the basis of efficient and inefficient navigational strategies. The accuracy of classification carried out with a self-organizing map algorithm was tested and improved to above 85% by using learning vector quantization. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction are discussed.
AB - This study proposes a modular system for clustering on-line motion trajectories obtained while users navigate within a virtual environment. It presents a neural network simulation that gives a set of five clusters which help to differentiate users on the basis of efficient and inefficient navigational strategies. The accuracy of classification carried out with a self-organizing map algorithm was tested and improved to above 85% by using learning vector quantization. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction are discussed.
KW - cs_eprint_id
KW - 2107 cs_uid
KW - 391
M3 - Chapter
VL - LNCS 2
SP - 1035
EP - 1044
BT - International Conference on Computational Science, Workshop on Scientific Visualisation and Human-Machine Interaction in a Problem-Solving Environment.
PB - Springer Verlag
ER -
