| Sensors | 卷:17 |
| Quantification of Finger-Tapping Angle Based on Wearable Sensors | |
| Milica Djurić-Jovičić1  Agnes Roby-Brami2  Vladimir S. Kostić3  Mirjana B. Popović4  Nenad S. Jovičić4  Antonije R. Djordjević4  | |
| [1] Innovation Center, School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia; | |
| [2] Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie, 4 Place JUSSIEU, 75005 Paris, France; | |
| [3] Institute for Neurology, School of Medicine, University of Belgrade, Dr. Subotića 6, 11120 Belgrade, Serbia; | |
| [4] School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia; | |
| 关键词: finger tapping; angle estimation; inertial sensors; motor assessment; finger aperture; | |
| DOI : 10.3390/s17020203 | |
| 来源: DOAJ | |
【 摘 要 】
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.
【 授权许可】
Unknown