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Author: Anthony Schultz

Affiliation: Sarah Lawrence College, United States

Keyword(s): Motion Capture Analysis, Pattern Recognition, Human Movement, Data Representation.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Graphics and Visualization of Physiological Data ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The body’s bilateral symmetry allows for various kinds of human motion patterns. Our paper presents a method for analyzing and representing motion capture time series that effectively identifies spatial and temporal patterns. We develop a factored representation of joint angle data based on quaternions and a metric pair for comparing different physical states of articulation. This metric pair is used to generate a metric space pair over the set of time series states. The result is represented as a 2-dimensional color image termed a bilateral motion spectrum. Several spectral motifs are presented and characterized.

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Paper citation in several formats:
Schultz, A. (2014). Bilateral Motion Spectra - Analysis and Representation of Human Movement. In Proceedings of the International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-006-2; ISSN 2184-321X, SciTePress, pages 137-144. DOI: 10.5220/0004700401370144

@conference{phycs14,
author={Anthony Schultz.},
title={Bilateral Motion Spectra - Analysis and Representation of Human Movement},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - PhyCS},
year={2014},
pages={137-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004700401370144},
isbn={978-989-758-006-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - PhyCS
TI - Bilateral Motion Spectra - Analysis and Representation of Human Movement
SN - 978-989-758-006-2
IS - 2184-321X
AU - Schultz, A.
PY - 2014
SP - 137
EP - 144
DO - 10.5220/0004700401370144
PB - SciTePress

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