基于惯性手杖的行人导航算法

2017 10th International Conference on Human System Interactions (HSI) Pub Date : 2017-07-01 DOI:10.1109/HSI.2017.8005027

Duc Cong Dang, Y. Suh

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引用次数: 1

摘要

提出了一种利用附着在手杖上的惯性传感器来估计手杖运动信息的算法。采用间接卡尔曼滤波的标准惯性导航算法来更新手杖在运动过程中的速度和位置。通过三米步行实验验证了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pedestrian navigation algorithm using inertial-based walking stick

An algorithm for estimating the walking stick movement information is proposed using an inertial sensor attached on the stick. A standard inertial navigation algorithm using an indirect Kalman filter is applied to update velocity and position of the walking stick during movement. The proposed algorithm is verified with three-meter walking experiments.

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2017 10th International Conference on Human System Interactions (HSI)

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