Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Lones:2017:GECCO,

• author = "Michael A. Lones and Jane E. Alty and Jeremy Cosgrove and Stuart Jamieson and Stephen L. Smith",
• title = "Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "1365--1371",
• size = "7 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3082490",
• DOI = "doi:10.1145/3067695.3082490",
• acmid = "3082490",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, directional changes, dyskinesia, movement analysis, parkinson's disease, time series analysis",
• month = "15-19 " # jul,
• 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.",
• 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