No Cover Image

Journal article 740 views 91 downloads

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; Rory P. Wilson

The Visual Computer, Volume: 31, Issue: 6-8, Pages: 1067 - 1078

Swansea University Author: Jones, Mark

DOI (Published version): 10.1007/s00371-015-1112-0

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 tem...

Full description

Published in: The Visual Computer
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa20645
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
College: College of Science
Issue: 6-8
Start Page: 1067
End Page: 1078