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Sensors 2016, 16(8), 1208; doi:10.3390/s16081208

Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams

CMLA, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France
Cognac-G, CNRS, Université Paris Descartes, 75006 Paris, France
Author to whom correspondence should be addressed.
Academic Editor: Fabrizio Lamberti
Received: 20 June 2016 / Revised: 20 July 2016 / Accepted: 22 July 2016 / Published: 1 August 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1833 KB, uploaded 1 August 2016]   |  


During the past few years, the Nintendo Wii Balance Board (WBB) has been used in postural control research as an affordable but less reliable replacement for laboratory grade force platforms. However, the WBB suffers some limitations, such as a lower accuracy and an inconsistent sampling rate. In this study, we focus on the latter, namely the non uniform acquisition frequency. We show that this problem, combined with the poor signal to noise ratio of the WBB, can drastically decrease the quality of the obtained information if not handled properly. We propose a new resampling method, Sliding Window Average with Relevance Interval Interpolation (SWARII), specifically designed with the WBB in mind, for which we provide an open source implementation. We compare it with several existing methods commonly used in postural control, both on synthetic and experimental data. The results show that some methods, such as linear and piecewise constant interpolations should definitely be avoided, particularly when the resulting signal is differentiated, which is necessary to estimate speed, an important feature in postural control. Other methods, such as averaging on sliding windows or SWARII, perform significantly better on synthetic dataset, and produce results more similar to the laboratory-grade AMTI force plate (AFP) during experiments. Those methods should be preferred when resampling data collected from a WBB. View Full-Text
Keywords: wii balance board; balance; postural sway; resampling; non uniform acquisition frequency wii balance board; balance; postural sway; resampling; non uniform acquisition frequency

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Audiffren, J.; Contal, E. Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams. Sensors 2016, 16, 1208.

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