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Trajectory Reconstruction Algorithm based on Sensor Fusion between IMU and Strain Gauge for Stand-alone Digital Pen

机译:基于传感器融合的轨迹重建算法对独立数字笔的IMU和应变计

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We aim to realize a novel pen based interface system that provides various digital operations for both low-tech and high-tech people. In this paper, we propose a novel sensor fusion method between IMUs (Inertial Measurement Unit) and strain gauges embedded on a pen device. By using strain gauges for obtaining the correct direction of pen tip movement during writing, cumulative errors caused by the intrinsic noise/drift of IMU can be corrected. Therefore our proposed sensor fusion method can reconstruct longer handwritten trajectories such as multiple characters including multiple strokes that have not been achieved by conventional methods. This paper provides a pen tip direction estimation method using strain gauges attached on ink cylinder, trajectory reconstruction method using IMUs, and the sensor fusion method of both estimation streams. The algorithms are evaluated by writing experiments conducted by a robotic manipulator.
机译:我们的目标是实现一种新型笔的界面系统,为低技术和高科技人员提供各种数字运营。 在本文中,我们提出了一种嵌入笔装置上的IMU(惯性测量单元)和应变仪之间的新型传感器融合方法。 通过使用应变仪来获得在写入期间获得正确的笔尖端运动方向,可以校正由IMU的内在噪声/漂移引起的累积误差。 因此,我们所提出的传感器融合方法可以重建长度的手写轨迹,例如多个字符,包括常规方法尚未实现的多个笔划。 本文提供了一种使用IMU的墨水缸,轨迹重建方法的应变仪的笔尖方向估计方法,以及两个估计流的传感器融合方法。 通过用机器人操纵器进行的实验来评估算法。

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