Related Experiment Video
Updated: Jan 9, 2026

08:15
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
Published on: March 28, 2025
1.1K
Integrating spatial and temporal metrics in smartphone-based finger tapping test: Insights into motor performance
Lucas de Sousa Miranda1, Bruna Rafaela da Silva Sousa2, Felipe da Costa Brito3
1Faculdade de Enfermagem, Universidade da Amazônia, Belém, Brazil.
Journal of Neuroscience Methods
|December 1, 2025
Summary
Smartphone Finger Tapping Tests (FTT) reveal that while tapping speed declines with fatigue, spatial control remains stable. This digital phenotyping approach offers new insights into motor behavior for research and clinical use.
Area of Science:
- Digital phenotyping
- Behavioral neuroscience
- Motor control research
Background:
- The classical Finger Tapping Test (FTT) primarily assesses motor timing.
- Smartphone adaptations allow simultaneous recording of temporal and spatial parameters.
- This study investigates the temporal evolution of motor metrics during a smartphone FTT.
Purpose of the Study:
- To characterize the temporal changes in both temporal and spatial metrics during a 30-second smartphone-based FTT.
- To explore the potential of smartphone FTT for digital phenotyping of motor behavior.
- To assess the added value of spatial metrics in motor assessments.
Main Methods:
- Eighty healthy adults performed a 30-second FTT with both hands using a custom smartphone app.
- Quantified tap count, intertap interval, total displacement, and elliptical area across 5-second intervals.
- Utilized Friedman's ANOVA and Kendall's W to analyze time-dependent changes and effect sizes.
Main Results:
- Temporal parameters (tap count, intertap interval) showed fatigue effects over time.
- Spatial parameter (elliptical area) remained stable, indicating preserved spatial control.
- Intertap interval exhibited the largest effect size, particularly in females (Kendall's W = 0.8).
Conclusions:
- Smartphone FTT integrating spatial metrics reveals dissociation between temporal fatigue and spatial stability.
- Spatial metrics enhance digital motor assessments, offering greater insight than traditional FTT.
- Smartphone-based FTT is a scalable, low-cost tool for behavioral neuroscience and clinical applications.

