MachineSense:使用智能手机检测和监控活动机器

Mobile Computing and Communications Review Pub Date : 2013-02-04 DOI:10.1145/2436196.2436205

M. Uddin, T. Nadeem

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引用次数: 6

摘要

使用我们的原型系统进行实际跑步机与认可跑步机25分钟时间的比较。等先验概率的多元高斯声学模型朴素贝叶斯分类器圆1,2,3分别表示了我们实验室办公室中微波炉，风扇和吸尘器的位置。方格1、2、3、4和5显示了我们使用原型应用程序确定的当前正在运行的机器的位置。我们在Android手机(Nexus S)上开发了一个原型系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MachineSense: detecting and monitoring active machines using smart phone

Comparison of actual running machine and recognized running machine using our prototype system for 25 minutes of time. Multivariate Gaussian Acoustic Model Naive Bayes classifier with equal prior probability Circle 1,2,3 shows the position of a microwave, a fan and a vacuum cleaner respectively at our lab office. Square 1,2,3,4 and 5 shows the position from we have identified the current running machine using our prototype application. We develop a prototype system in Android phone (Nexus S)

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来源期刊

Mobile Computing and Communications Review TELECOMMUNICATIONS-

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