Accelerometer Signal Features and Classification Algorithms for Positioning Applications

机译：定位应用中的加速度计信号特征和分类算法

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The continuous development of Micro Electro-rnMechanical Sensors (MEMSs) and their integration intorncell-phones and other mobile devices is pushing therndesign of new algorithms capable of determining the userrnactivity. Determining what the user is doing allows one tornbound his displacement and provide information about hisrnlocation. The design of such algorithms is a classificationrnproblem where the different classes are specified by thernMEMS location and user activity.rnIn this paper, MEMS accelerometer signals are analyzedrnin different domains and several features are selected forrnthe design of classification algorithms. Frequency domainrnanalysis is performed as a function of the user velocityrnand sensor location, showing the potential of the selectedrnfeatures even when the MEMS is not placed on the userrnfoot. The selected features are finally integrated into threerndifferent classification algorithms whose characteristicsrnare analyzed and compared under several operatingrnconditions.

机译：微型机电传感器（MEMS）的不断发展及其与手机和其他移动设备的集成，正推动着能够确定用户活动的新算法的设计。确定用户正在做的事情，可以使他的位移陷入困境并提供有关其位置的信息。这种算法的设计是一个分类问题，其中，MEMS位置和用户活动指定了不同的类别。本文对MEMS加速度计信号进行了不同领域的分析，并选择了几种特征进行分类算法的设计。根据用户速度和传感器位置执行频域分析，即使未将MEMS放在用户脚上，也显示了选定功能的潜力。最后将所选特征集成到三种不同的分类算法中，在几种操作条件下对它们的特征进行分析和比较。

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来源
《Proceedings of the Institute of Navigation 2011 international technical meeting》|2011年|p.158-169|共12页
会议地点 San Diego CA(US);San Diego CA(US)
作者
Melania Susi; Daniele Borio; Gérard Lachapelle;
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作者单位

Position, Location And Navigation (PLAN) Group Department of Geomatics Engineering University of Calgary;

Position, Location And Navigation (PLAN) Group Department of Geomatics Engineering University of Calgary;

Position, Location And Navigation (PLAN) Group Department of Geomatics Engineering University of Calgary;

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Accelerometer Signal Features and Classification Algorithms for Positioning Applications

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