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Authors: Sean Pearson 1 ; Martina Mancini 2 ; Mahmoud El-Gohary 1 ; James McNames 1 and Fay Horak 2

Affiliations: 1 APDM Inc., United States ; 2 Oregon Health Sciences University, United States

ISBN: 978-989-8565-79-2

Keyword(s): Inertial Sensors, Turning, Gait and Balance.

Related Ontology Subjects/Areas/Topics: Biosignals and Biodevices Engineering ; Gait and Posture ; Motor Control and Coordination ; Signal Processing and Motor Behavior ; Sport Science Research and Technology

Abstract: Turn detection and characterization in the home is important for continuous assessment of gait and balance in people with movement disability. Turning often results in falling in individuals with movement disorders. Researchers and clinicians would benefit from a system that identifies and characterizes their daily mobility behavior to predict their risk of falling, benefits or side effects of treatment, and progression of disease. The goal of this study is to develop an algorithm that is capable of reliably detecting turns during gait with the goal of applying it over long periods outside a lab environment. Performance of the algorithm is validated against an optical marker system and video analysis of a subset of the participants.

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Paper citation in several formats:
Pearson S., Mancini M., El-Gohary M., McNames J. and Horak F. (2013). Turn Detection and Characterization with Inertial Sensors.In Proceedings of the International Congress on Sports Science Research and Technology Support ISBN 978-989-8565-79-2, pages 19-22. DOI: 10.5220/0004647000190022

@conference{icsports13,
author={Sean Pearson and Martina Mancini and Mahmoud El-Gohary and James McNames and Fay Horak},
title={Turn Detection and Characterization with Inertial Sensors},
booktitle={Proceedings of the International Congress on Sports Science Research and Technology Support },
year={2013},
pages={19-22},
doi={10.5220/0004647000190022},
isbn={978-989-8565-79-2},
}

TY - CONF

JO - Proceedings of the International Congress on Sports Science Research and Technology Support
TI - Turn Detection and Characterization with Inertial Sensors
SN - 978-989-8565-79-2
AU - Pearson S.
AU - Mancini M.
AU - El-Gohary M.
AU - McNames J.
AU - Horak F.
PY - 2013
SP - 19
EP - 22
DO - 10.5220/0004647000190022

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