A customizable tablet app for hand movement research outside the lab

Author:

Matic Adam,Gomez-Marin Alex

Abstract

ABSTRACTBackgroundPrecise behavioral measurements allow the discovery of movement constraints that provide insights into sensory-motor processes and their underlying neural mechanisms. For instance, when humans draw an ellipse on a piece of paper, the instantaneous speed of the pen co-varies tightly with the local curvature of the path. Known as the speed-curvature power law, this phenomenon relates to fundamental questions of motor control.New MethodWe have developed a software app for displaying static curves or dynamic targets while recording finger or stylus movements on Android touch-screen tablets. Designed for human hand movement research, the app is free, ready-to-use, open-source and customizable.ResultsWe provide a template experimental protocol, and detailed explanations to use it and flexibly modify the code for different kinds of tasks. Our validation of the app demonstrates laboratory-quality results outside the laboratory. We also provide raw data and analysis scripts.Comparison with Existing MethodsCommonly used laboratory devices for recording hand movement trajectories are large, heavy and expensive. In turn, software apps are often not published, nor customizable. Our app running on tablets becomes an affordable, flexible, and portable tool suited for quantitative and robust behavioral studies with large number of participants and outside the laboratory (e.g. in a classroom, a hospital, or at home).ConclusionsThe affordability, flexibility, and resolution of our tablet app provide an effective tool to study behavior quantitatively in the real world.HighlightsA free, ready-to-use, open source, and customizable app for Android tablets.High-resolution measuring of finger movement during tracing, tracking & scribbling.Fast and easy data collection and experimental design with affordable hardware.Allowing for high-throughput experiments outside the lab (classroom, hospital, home).Validated for state-of-the-art research (speed-curvature power law, drawing accuracy).

Publisher

Cold Spring Harbor Laboratory

Reference23 articles.

1. Development, maturation and learning influence on handwriting kinematics;Human movement science,2013

2. Toward the autism motor signature: Gesture patterns during smart tablet gameplay identify children with autism;Scientificreports,2016

3. Sur la vitesse des mouvements graphiques (“On the speed of drawing movements”);Revue Philosophique de la France et de l’Etranger,1893

4. Bernstein, N. (1984) The Techniques of the Study of Movements. Human Motor Actions — Bernstein Reassessed, 1–26. https://doi:10.1016/s0166-4115(08)61367-9

5. Commonalities and differences in control of various drawing movements

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