TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data

James S. Walker, Mark W. Jones, Robert S. Laramee, Owen R. Bidder, Hannah J. Williams, Rebecca Scott, Emily L. C. Shepard and Rory P. Wilson

Abstract

Biologists studying animals in their natural environment are increasingly using sensors such as accelerometers in animal-attached 'smart' tags because it is widely acknowledged that this approach can enhance the understanding of ecological and behavioural processes. The potential of such tags is tempered by the difficulty of extracting animal behaviour from the sensors which is currently primarily dependent on the manual inspection of multiple time series graphs. This is time consuming and error-prone for the domain expert and is now the limiting factor for realising the value of tags in this area. We introduce TimeClassifier, a visual analytic system for the classification of time series data for movement ecologists. We deploy our system with biologists and report two real-world case studies of its use.

DOI

10.1007/s00371-015-1112-0
https://dx.doi.org/10.1007/s00371-015-1112-0

Citation

James S. Walker, Mark W. Jones, Robert S. Laramee, Owen R. Bidder, Hannah J. Williams, Rebecca Scott, Emily L. C. Shepard and Rory P. Wilson, TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data, The Visual Computer, 31(6-8), 1067-1078, 2015. https://dx.doi.org/10.1007/s00371-015-1112-0

BibTeX

@article{TimeClassifier,
	title={TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data},
	author={Walker, James S. and Jones, Mark W. and Laramee, Robert S. and Bidder, Owen R. and Williams, Hannah J. and Scott, Rebecca and Shepard, Emily L. C. and Wilson, Rory P.},
	year={2015},
	issn={0178-2789},
	journal={The Visual Computer},
	volume={31},
	number={6-8},
	doi={10.1007/s00371-015-1112-0},
	url={http://dx.doi.org/10.1007/s00371-015-1112-0},
	publisher={Springer Berlin Heidelberg},
	keywords={Visual analytics; Time series analysis; Movement ecology},
	pages={1067-1078},
	language={English}
}