Quantification of Finger-Tapping Angle Based on Wearable Sensors

Sensors (Basel). 2017 Jan 25;17(2):203. doi: 10.3390/s17020203.

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.

Keywords: angle estimation; finger aperture; finger tapping; inertial sensors; motor assessment.

MeSH terms

  • Fingers*
  • Humans
  • Motion
  • Wearable Electronic Devices