文章基本信息

标题：On-Body Smartphone Localization with an Accelerometer
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作者：Kaori Fujinami
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2016
卷号：7
期号：2
页码：21-43
DOI：10.3390/info7020021
出版社：MDPI Publishing
摘要：A user of a smartphone may feel convenient, happy, safe, etc., if his/her smartphone works smartly based on his/her context or the context of the device. In this article, we deal with the position of a smartphone on the body and carrying items like bags as the context of a device. The storing position of a smartphone impacts the performance of the notification to a user, as well as the measurement of embedded sensors, which plays an important role in a device’s functionality control, accurate activity recognition and reliable environmental sensing. In this article, nine storing positions, including four types of bags, are subject to recognition using an accelerometer on a smartphone. In total, 63 features are selected as a set of features among 182 systematically-defined features, which can characterize and discriminate the motion of a smartphone terminal during walking. As a result of leave-one-subject-out cross-validation, an accuracy of 0.801 for the nine-class classification is shown, while an accuracy of 0.859 is obtained against five classes, which merges the subclasses of trouser pockets and bags. We also show the basic performance evaluation to select the proper window size and classifier. Furthermore, the analysis of the contributive features is presented.
关键词：smartphone; on-body position; device localization; accelerometer; machine learning; feature selection; activity recognition; opportunistic sensing; intelligent systems; wearable computing smartphone ; on-body position ; device localization ; accelerometer ; machine learning ; feature selection ; activity recognition ; opportunistic sensing ; intelligent systems ; wearable computing