Cavallo Andrea, Foster Nathan C, Balasubramanian Karthikeyan Kalyanasundaram, Merello Andrea, Zini Giorgio, Crepaldi Marco, Becchio Cristina
Cognition, Motion and Neuroscience Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia, Genova, Italy.
Department of Psychology, University of Turin, Torino, Italy.
iScience. 2021 Jun 17;24(7):102742. doi: 10.1016/j.isci.2021.102742. eCollection 2021 Jul 23.
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.
运动追踪通过捕捉运动规划和控制方式中的细微变化，为运动、认知和社交发展提供了独特的见解。在此，我们展示了一个低成本的可穿戴运动测量平台KiD，它专为在各种自然环境中追踪婴幼儿的运动而设计。KiD由一个小型、轻便的传感器组成，该传感器包含一个九轴惯性测量单元以及一个用于计算旋转的集成处理器。使用KiD进行的三维加速度测量与当前最先进的光学运动捕捉系统的测量结果相当。作为概念验证，我们展示了使用KiD成功分类不同类型的正弦右臂运动。
