title: Quantification of Finger-Tapping Angle Based on Wearable Sensors.
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.
authors.affiliation: Innovation Center, School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia. milica.djuric@etf.rs.
authors.forename: Milica
authors.initials: M
authors.lastname: Djurić-Jovičić
authors.affiliation: School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia. nenad@etf.rs.
authors.forename: Nenad S
authors.initials: NS
authors.lastname: Jovičić
authors.affiliation: Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie, 4 Place JUSSIEU, 75005 Paris, France. roby-brami@isir.upmc.fr.
authors.forename: Agnes
authors.initials: A
authors.lastname: Roby-Brami
authors.affiliation: School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia. mpo@etf.rs.
authors.forename: Mirjana B
authors.initials: MB
authors.lastname: Popović
authors.affiliation: Institute for Neurology, School of Medicine, University of Belgrade, Dr. Subotića 6, 11120 Belgrade, Serbia. vladimir.s.kostic@gmail.com.|Serbian Academy of Sciences and Arts, Knez Mihajlova 35, 11001 Belgrade, Serbia. vladimir.s.kostic@gmail.com.
authors.forename: Vladimir S
authors.initials: VS
authors.lastname: Kostić
authors.affiliation: School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia. edjordja@etf.rs.|Serbian Academy of Sciences and Arts, Knez Mihajlova 35, 11001 Belgrade, Serbia. edjordja@etf.rs.
authors.forename: Antonije R
authors.initials: AR
authors.lastname: Djordjević
mesh_terms: D005385:Fingers; D006801:Humans; D009038:Motion; D000076251:Wearable Electronic Devices
keywords: angle estimation; finger aperture; finger tapping; inertial sensors; motor assessment