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Related Experiment Video

Updated: Jun 29, 2026

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Tapping with intentional drift.

A N Vardy1, A Daffertshofer, P J Beek

  • 1Research Institute MOVE, Faculty of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT, Amsterdam, The Netherlands. a.vardy@fbw.vu.nl

Experimental Brain Research
|October 3, 2008
PubMed
Summary
This summary is machine-generated.

Human tapping timing, even with intentional frequency drift, is well-explained by the Wing and Kristofferson model. This model accounts for internal timing (clock) and motor delays, showing consistent timing properties across different tapping tasks.

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A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

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Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

Area of Science:

  • Human motor control
  • Auditory-motor synchronization
  • Timing and rhythm perception

Background:

  • Rhythmic tapping studies often aim to minimize frequency drift.
  • The Wing and Kristofferson model explains tapping timing via a clock and motor delays.
  • Understanding drift's impact on timing models is crucial.

Purpose of the Study:

  • Compare constant frequency tapping with intentional frequency drift (decreasing ITI).
  • Investigate how tapping frequency influences motor output and timing parameters.
  • Assess the applicability of the Wing and Kristofferson model to non-constant tapping.

Main Methods:

  • Synchronization-continuation paradigm for tapping tasks.
  • Recorded tapping forces and index finger electromyograms (EMG).
  • Derived inter-tap intervals (ITIs), variability, and Wing and Kristofferson model parameters (clock and motor variances).

Main Results:

  • Increasing frequency (decreasing ITI) led to greater deviation from intended ITIs.
  • Tapping frequency generally affected force, variability, model parameters, and muscle co-activation.
  • Timing parameters for decreasing ITI tapping were comparable to constant frequency tapping.

Conclusions:

  • Intentional frequency drift in tapping is more difficult but shares timing properties with constant tapping.
  • The Wing and Kristofferson model effectively describes timing in both constant and drifting tapping sequences.
  • Motor control and timing mechanisms remain consistent despite intentional frequency changes.