Adaptive step length estimation algorithm using optimal parameters and movement status awareness
Adaptive step length estimation algorithm using optimal parameters and movement status awareness
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DOI：
10.1016/j.medengphy.2011.04.009
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发表时间：
2011-11-01
影响因子：
2.2
通讯作者：
Park, Chan Gook
中科院分区：
文献类型：
--
作者：
Shin, Seung Hyuck;Park, Chan Gook
提出了一种基于最优参数的自适应步长估计算法和运动状态感知算法。所提出的算法被开发为一种手段，用于提高估计步行距离的准确性。该算法已应用于行人导航系统、泛在健康监测系统等。在考虑测量误差的情况下，推导出算法的最佳参数。运动状态感知算法的设计使用的步行特性称为加速度方差。在估计一个主题的步行距离使用所提出的算法，测量误差为4.8%，相对于实际步行距离。或者，在没有该算法的情况下估计受试者的步行距离相对于实际步行距离产生20%的误差。(C)2011年IPEM。由爱思唯尔有限公司出版。保留所有权利。
An adaptive step length estimation algorithm operating with optimal parameters and a movement status awareness algorithm are proposed. The proposed algorithm was developed as a means for increasing the accuracy in estimating walking distances. The algorithm was applied to pedestrian navigation system, ubiquitous health monitoring systems, and so forth. The algorithm's optimal parameters were derived after measurement errors were taken into consideration. The movement status awareness algorithm was designed using a walking characteristic called the acceleration variance. After estimating a subject's walking distance using the proposed algorithm, the measured error was 4.8% with respect to actual walking distance. Alternatively, estimating a subject's walking distance without the algorithm yielded an error of 20% with respect to actual walking distance. (C) 2011 IPEM. Published by Elsevier Ltd. All rights reserved.