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Protocol for simulation of falls in watersports activities

 
: Ferreira, Carlos; Madureira, Joao; Sousa, Ines

:

Al-Dabass, D. ; Institute of Electrical and Electronics Engineers -IEEE-, United Kingdom and Republic of Ireland Section; Institute of Electrical and Electronics Engineers -IEEE-, Region Europe, Middle East, Africa; Institute of Electrical and Electronics Engineers -IEEE-, Region Asia and Pacific; IEEE Computer Society:
7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015. Proceedings : Riga, Latvia, 3 - 5 June 2015
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2015
ISBN: 978-1-4673-7015-8 (Print)
ISBN: 978-1-4673-7017-2
ISBN: 978-1-4673-7016-5
S.109-112
International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) <7, 2015, Riga>
Englisch
Konferenzbeitrag
Fraunhofer AICOS ()
watersport; fall detection protocol; inertial sensor

Abstract
Falls are a frequent cause of unintentional injuries. The development of a water sports fall detection algorithm usually requires a dataset collection of fall events that are difficult to replicate in a laboratory environment. To address that problem, this article proposes a simulated boat falls protocol that can be used to record a dataset of falls for various water sports. A dataset of 296 samples comprised in 129 falls and in 167 non-fall events was gathered using the protocol. The data collection was made with 3 different smartphones and with 1 external IMU. A fall detection algorithm was trained with the dataset with machine learning techniques and tested over the same dataset and real sailing data. The algorithm achieved 99.9% of accuracy, 99% of specificity and 100% of sensitivity when tested in the dataset and detected the only fall that occurred in one hour and a half of a real sailing activitiy.

: http://publica.fraunhofer.de/dokumente/N-383048.html