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Sensors 2017, 17(2), 203; doi:10.3390/s17020203

Quantification of Finger-Tapping Angle Based on Wearable Sensors

1
Innovation Center, School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia
2
School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia
3
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie, 4 Place JUSSIEU, 75005 Paris, France
4
Institute for Neurology, School of Medicine, University of Belgrade, Dr. Subotića 6, 11120 Belgrade, Serbia
5
Serbian Academy of Sciences and Arts, Knez Mihajlova 35, 11001 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Academic Editors: Steffen Leonhardt and Daniel Teichmann
Received: 23 October 2016 / Revised: 15 January 2017 / Accepted: 16 January 2017 / Published: 25 January 2017
(This article belongs to the Special Issue Wearable Biomedical Sensors)
View Full-Text   |   Download PDF [1741 KB, uploaded 25 January 2017]   |  

Abstract

We propose a novel simple method for quantitative and qualitative finger-tapping assessment based on miniature inertial sensors (3D gyroscopes) placed on the thumb and index-finger. We propose a simplified description of the finger tapping by using a single angle, describing rotation around a dominant axis. The method was verified on twelve subjects, who performed various tapping tasks, mimicking impaired patterns. The obtained tapping angles were compared with results of a motion capture camera system, demonstrating excellent accuracy. The root-mean-square (RMS) error between the two sets of data is, on average, below 4°, and the intraclass correlation coefficient is, on average, greater than 0.972. Data obtained by the proposed method may be used together with scores from clinical tests to enable a better diagnostic. Along with hardware simplicity, this makes the proposed method a promising candidate for use in clinical practice. Furthermore, our definition of the tapping angle can be applied to all tapping assessment systems. View Full-Text
Keywords: finger tapping; angle estimation; inertial sensors; motor assessment; finger aperture finger tapping; angle estimation; inertial sensors; motor assessment; finger aperture
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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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MDPI and ACS Style

Djurić-Jovičić, M.; Jovičić, N.S.; Roby-Brami, A.; Popović, M.B.; Kostić, V.S.; Djordjević, A.R. Quantification of Finger-Tapping Angle Based on Wearable Sensors. Sensors 2017, 17, 203.

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