Using Mobile Phones to Determine Transportation Modes
Using Mobile Phones to Determine Transportation Modes
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DOI：
10.1145/1689239.1689243
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发表时间：
2010-02-01
影响因子：
4.1
通讯作者：
Srivastava, Mani
中科院分区：
文献类型：
--
作者：
Reddy, Sasank;Mun, Min;Srivastava, Mani
随着手机在功能和能力方面的提高，它们不仅用于通信。这些设备越来越多地被用作内省习惯和习惯的工具。通过这种新的手机使用来实现的许多应用程序都取决于上下文信息。这项工作的重点是上下文的一个维度，即外部时个人的运输模式。我们创建一个方便的（没有特定位置和方向设置）分类系统，该系统使用带有内置GPS接收器和加速度计的手机。确定的运输模式包括一个人是静止，步行，跑步，骑自行车还是在电动运输中。总体分类系统由决策树组成，然后是一阶离散隐藏的马尔可夫模型，并在从十六个人获得的数据集上进行测试时，精度水平为93.6％。
As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices are being employed as instruments for introspection into habits and situations of individuals and communities. Many of the applications enabled by this new use of mobile phones rely on contextual information. The focus of this work is on one dimension of context, the transportation mode of an individual when outside. We create a convenient (no specific position and orientation setting) classification system that uses a mobile phone with a built-in GPS receiver and an accelerometer. The transportation modes identified include whether an individual is stationary, walking, running, biking, or in motorized transport. The overall classification system consists of a decision tree followed by a first-order discrete Hidden Markov Model and achieves an accuracy level of 93.6% when tested on a dataset obtained from sixteen individuals.