A low-cost stand-alone platform for measuring motor behavior across developmental applications
Andrea Cavallo,
Nathan C. Foster,
Karthikeyan Kalyanasundaram Balasubramanian,
Andrea Merello,
Giorgio Zini,
Marco Crepaldi,
Cristina Becchio
Affiliations
Andrea Cavallo
Cognition, Motion and Neuroscience Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Department of Psychology, University of Turin, Torino, Italy
Nathan C. Foster
Cognition, Motion and Neuroscience Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Karthikeyan Kalyanasundaram Balasubramanian
Electronic Design Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Andrea Merello
Electronic Design Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Giorgio Zini
Electronic Design Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Marco Crepaldi
Electronic Design Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Corresponding author
Cristina Becchio
Cognition, Motion and Neuroscience Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Corresponding author
Summary: Motion tracking provides unique insights into motor, cognitive, and social development by capturing subtle variations into how movements are planned and controlled. Here, we present a low-cost, wearable movement measurement platform, KiD, specifically designed for tracking the movements of infants and children in a variety of natural settings. KiD consists of a small, lightweight sensor containing a nine-axis inertial measurement unit plus an integrated processor for computing rotations. Measurements of three-dimensional acceleration using KiD compare well with those of current state-of-the-art optical motion capture systems. As a proof of concept, we demonstrate successful classification of different types of sinusoidal right arm movements using KiD.