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bioRxiv · 10.1101/633305

A customizable tablet app for hand movement research outside the lab

Abstract

BackgroundPrecise 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.\n\nNew 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.\n\nResultsWe 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.\n\nComparison 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).\n\nConclusionsThe affordability, flexibility, and resolution of our tablet app provide an effective tool to study behavior quantitatively in the real world.\n\nHighlightsO_LIA free, ready-to-use, open source, and customizable app for Android tablets.\nC_LIO_LIHigh-resolution measuring of finger movement during tracing, tracking & scribbling.\nC_LIO_LIFast and easy data collection and experimental design with affordable hardware.\nC_LIO_LIAllowing for high-throughput experiments outside the lab (classroom, hospital, home).\nC_LIO_LIValidated for state-of-the-art research (speed-curvature power law, drawing accuracy).\nC_LI\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC=\"FIGDIR/small/633305v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (13K):\norg.highwire.dtl.DTLVardef@1ff34corg.highwire.dtl.DTLVardef@19e151borg.highwire.dtl.DTLVardef@17bb702org.highwire.dtl.DTLVardef@12c185b_HPS_FORMAT_FIGEXP M_FIG C_FIG

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BibTeXRIS

Matic, A., Gomez-Marin, A.. 2019-05-09. A customizable tablet app for hand movement research outside the lab. https://doi.org/10.1101/633305

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