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3-D position estimation from inertial sensing: minimizing the error from the process of double integration of accelerations

机译:惯性传感的三维位置估计:最小化误差   加速度的双重整合过程

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摘要

This paper introduces a new approach to 3-D position estimation fromacceleration data, i.e., a 3-D motion tracking system having a small size andlow-cost magnetic and inertial measurement unit (MIMU) composed by both adigital compass and a gyroscope as interaction technology. A major challenge isto minimize the error caused by the process of double integration ofaccelerations due to motion (these ones have to be separated from theaccelerations due to gravity). Owing to drift error, position estimation cannotbe performed with adequate accuracy for periods longer than few seconds. Forthis reason, we propose a method to detect motion stops and only integrateaccelerations in moments of effective hand motion during the demonstrationprocess. The proposed system is validated and evaluated with experimentsreporting a common daily life pick-and-place task.
机译:本文介绍了一种从加速度数据进行3D位置估计的新方法,即一种由数字罗盘和陀螺仪共同构成的,体积小,成本低的磁惯性测量单元(MIMU)的3D运动跟踪系统。一个主要的挑战是使由于运动引起的加速度的双重积分过程引起的误差最小化(由于重力,这些误差必须与加速度分开)。由于漂移误差,在超过几秒钟的时间内,无法以足够的精度执行位置估计。因此,我们提出了一种在演示过程中检测运动停止并仅对有效手部运动的加速度进行积分的方法。提出的系统通过实验进行了验证和评估,报告了日常的日常取放任务。

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