基于加速度计的手机交通模式识别

Shuangquan Wang, Canfeng Chen, Jian Ma
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引用次数: 150

摘要

识别人们日常生活的交通方式是普适计算中的一个重要研究课题。在此领域之前的研究主要是利用全球定位系统(GPS)、全球移动通信系统(GSM)或它们与加速度计的结合来识别交通方式,如步行、驾驶等。在本文中,我们将介绍仅使用嵌入式加速度计在手机上识别交通方式。为了处理手机位置和方向的不确定性,介绍了基于加速度综合和基于加速度分解的方法。性能比较表明,基于加速度综合的方法优于基于加速度分解的方法。讨论了影响加速度分解方法识别精度的因素,并提出了改进的可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerometer Based Transportation Mode Recognition on Mobile Phones
Recognizing the transportation modes of people’s daily living is an important research issue in the pervasive computing. Prior research in this field mainly uses Global Positioning System (GPS), Global System for Mobile Communications (GSM) or their combination with accelerometer to recognize transportation modes, such as walking, driving, etc. In this paper, we will introduce transportation mode recognition on mobile phones only using embedded accelerometer. In order to deal with uncertainty of position and orientation of mobile phone, acceleration synthesization based method and acceleration decomposition based method are introduced. Performance comparison indicates that acceleration synthesization based method outperforms acceleration decomposition based method. We will discuss the factors affect the recognition accuracy of acceleration decomposition based method and present potential improvements.
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