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Authors: Gert Mertes 1 ; Greet Baldewijns 1 ; Pieter-Jan Dingenen 2 ; Tom Croonenborghs 2 and Bart Vanrumste 1

Affiliations: 1 KU Leuven and iMinds, Belgium ; 2 KU Leuven, Belgium

Keyword(s): Wii Balance Board, Center of Pressure, Fall Risk Classification, Machine Learning, Support Vector Machine, K-Nearest Neighbours.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cloud Computing ; Decision Support Systems ; Development of Assistive Technology ; e-Health ; Health Information Systems ; Pattern Recognition and Machine Learning ; Platforms and Applications

Abstract: In this paper, a tool to assess a person´s fall risk with the Nintendo Wii Balance Board based on Center of Pressure (CoP) recordings is presented. Support Vector Machine and K-Nearest Neighbours classifiers are used to distinguish between people who experienced a fall in the past twelve months and those who have not. The classifiers are trained using data recorded from 39 people containing a mix of students and elderly. Validation is done using 10-fold cross-validation and the classifiers are also validated against additional data recorded from 12 elderly. A cross-validated average accuracy of 96.49% +/- 4.02 is achieved with the SVM classifier with radial basis function kernel and 95.72% +/- 1.48 is achieved with the KNN classifier with k=4. Validation against the additional dataset of 12 elderly results in a maximum accuracy of 76.6% with the linear SVM.

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Paper citation in several formats:
Mertes, G.; Baldewijns, G.; Dingenen, P.; Croonenborghs, T. and Vanrumste, B. (2015). Automatic Fall Risk Estimation using the Nintendo Wii Balance Board. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF; ISBN 978-989-758-068-0; ISSN 2184-4305, SciTePress, pages 75-81. DOI: 10.5220/0005208700750081

@conference{healthinf15,
author={Gert Mertes. and Greet Baldewijns. and Pieter{-}Jan Dingenen. and Tom Croonenborghs. and Bart Vanrumste.},
title={Automatic Fall Risk Estimation using the Nintendo Wii Balance Board},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF},
year={2015},
pages={75-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005208700750081},
isbn={978-989-758-068-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF
TI - Automatic Fall Risk Estimation using the Nintendo Wii Balance Board
SN - 978-989-758-068-0
IS - 2184-4305
AU - Mertes, G.
AU - Baldewijns, G.
AU - Dingenen, P.
AU - Croonenborghs, T.
AU - Vanrumste, B.
PY - 2015
SP - 75
EP - 81
DO - 10.5220/0005208700750081
PB - SciTePress