Robust and Accurate Smartphone-Based Step Counting for Indoor Localization
Robust and Accurate Smartphone-Based Step Counting for Indoor Localization
复制标题
基于智能手机的稳健且准确的室内定位步数计数
DOI：
10.1109/jsen.2017.2685999
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发表时间：
2017-06-01
影响因子：
4.3
通讯作者：
Wei, Zhuo
中科院分区：
文献类型：
--
作者：
Gu, Fuqiang;Khoshelham, Kourosh;Wei, Zhuo
鲁棒且准确的步数计数对于依赖于智能手机惯性传感器的室内定位算法是重要的。现有的计步解决方案没有考虑用户的错误行走状态（例如，当用户在静止状态下使用手机发短信、玩游戏和看电影时），这会导致过度计数问题。本文提出了一种鲁棒且精确的步数计算算法，以解决假行走引起的步数过多问题。实验结果表明，与常用的基于峰值检测的方法相比，该算法在正常行走、自由行走和虚假行走情况下的步数准确率分别提高了6.56%、9.54%和58.92%，在准确性和鲁棒性上都有显著提高。我们还将所提出的方法与流行的商业步数应用程序（包括S Health，i-Health和Pedometer++）进行了比较，这表明我们的方法可以实现更好的准确性。
Robust and accurate step counting is important for indoor localization algorithms that rely on smartphone inertial sensors. Existing solutions for step counting do not consider users' false walking state (e.g., when a user in still state uses her phone for texting, playing games, and watching movies), which results in the over-counting problem. In this paper, we propose a robust and accurate step counting algorithm to solve the overcounting problem caused by false walking. Experimental results show that the proposed algorithm outperforms the commonly-used peak detection-based method and can improve the step counting accuracy by 6.56% for normal walking case, 9.54% for free walking case, and by 58.92% for false walking case, which is a significant improvement in the accuracy and robustness. We also compare the proposed method with popular commercial step counting applications including S Health, i-Health, and Pedometer++, which shows that our method can achieve better accuracy.