文章基本信息

标题：Activity Recognition using Accelerometer and GyroscopeSensor Data
本地全文：下载
作者：IJCTAneesh Chacko ; Kavitha R
期刊名称：International Journal of Computer Techniques
电子版ISSN：2394-2231
出版年度：2017
卷号：4
期号：2
页码：23-28
语种：English
出版社：International Research Group - IRG
摘要：Smart phones are becoming more sophisticated and consist of many sensors. GPS, vision, audio, light, temperature, direction, and acceleration sensors are few. In smart phones, sensors make human activity recognition better and easier. Accelerometer and Gyroscope are available in most of the smart phones and made data collection easy. In this work twelve different statistical measures are extracted as a feature from the raw data collected by these sensors. LDA and KNN classifiers are used to classify the activity