loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-758-068-0

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.214.184.124

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, 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 - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={75-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005208700750081},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Automatic Fall Risk Estimation using the Nintendo Wii Balance Board
SN - 978-989-758-068-0
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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.