Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement

Rui Varandas, Duarte Folgado, Hugo Gamboa

2019

Abstract

In industrial contexts, the performed tasks consist of sets of predetermined movements that are continuously repeated. The execution of improper movements and the existence of events that might prejudice the productive system are regarded as anomalies. In this work, it is proposed a framework capable of detecting anomalies in generic repetitive time series, adequate to handle human motion from industrial scenarios. The proposed framework consists of (1) a new unsupervised segmentation algorithm; (2) feature extraction, selection and dimensionality reduction; (3) unsupervised classification based on Density-Based Spatial Clustering Algorithm for applications with Noise. The proposed solution was applied in four different datasets. The yielded results demonstrated that anomaly detection in human motion is possible with an accuracy of 73±19%, specificity of 74 ± 21% and sensitivity of 74 ± 35%, and also that the developed framework is generic and may be applied in general repetitive time series with little adaptation effort for different domains.

Paper Citation

in Harvard Style

Varandas R., Folgado D. and Gamboa H. (2019). Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 163-170. DOI: 10.5220/0007386701630170

in Bibtex Style

@conference{biosignals19,
author={Rui Varandas and Duarte Folgado and Hugo Gamboa},
title={Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={163-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007386701630170},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement
SN - 978-989-758-353-7
AU - Varandas R.
AU - Folgado D.
AU - Gamboa H.
PY - 2019
SP - 163
EP - 170
DO - 10.5220/0007386701630170
PB - SciTePress