Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Lones:2017:GECCO,
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author = "Michael A. Lones and Jane E. Alty and
Jeremy Cosgrove and Stuart Jamieson and Stephen L. Smith",
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title = "Going Through Directional Changes: Evolving Human
Movement Classifiers Using an Event Based Encoding",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "1365--1371",
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size = "7 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3082490",
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DOI = "doi:10.1145/3067695.3082490",
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acmid = "3082490",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, directional
changes, dyskinesia, movement analysis, parkinson's
disease, time series analysis",
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month = "15-19 " # jul,
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abstract = "Directional changes (DC) is an event based encoding
for time series data that has become popular in
financial analysis, particularly within the
evolutionary algorithm community. In this paper, we
apply DC to a medical analytics problem, using it to
identify and summarise the periods of opposing
directional trends present within a set of
accelerometry time series recordings. The summarised
time series data are then used to train classifiers
that can discriminate between different kinds of
movement. As a case study, we consider the problem of
discriminating the movements of Parkinson's disease
patients when they are experiencing a common effect of
medication called levodopa-induced dyskinesia. Our
results suggest that a DC encoding is competitive
against the window-based segmentation and frequency
domain encodings that are often used when solving this
kind of problem, but offers added benefits in the form
of faster training and increased interpretability.",
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notes = "Also known as \cite{Lones:2017:GTD:3067695.3082490}
GECCO-2017 A Recombination of the 26th International
Conference on Genetic Algorithms (ICGA-2017) and the
22nd Annual Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Michael A Lones
Jane E Alty
Jeremy Cosgrove
D R Stuart Jamieson
Stephen L Smith
Citations