Noise Reduction of Mobile Sensors Data in the Prediction of Demographic Attributes

被引：2

作者：

Hazan, Itay ^{[1
]}

Shabtai, Asaf ^{[1
]}

机构：

[1] Ben Gurion Univ Negev, Dept Informat Syst Engn, Beer Sheva, Israel

来源：

2ND ACM INTERNATIONAL CONFERENCE ON MOBILE SOFTWARE ENGINEERING AND SYSTEMS MOBILESOFT 2015 | 2015年

关键词：

Demographic Prediction; Smartphone;

D O I：

10.1109/MobileSoft.2015.25

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we attempt demonstrate how we can use smartphone sensor data effectively for predicting gender. We specifically focus on sensor data that is assumed to inflict minimal risk to other applications, the system, or the user: Installed Applications, Network Traffic Amount, and Accelerometer readings. We propose several simple heuristics for pre-processing the data and for noise reduction which eventually results in improved accuracy in predicting gender.

引用

页码：117 / 120

页数：4

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