Up and Dwon Buses Activity Recognition using Smartphone Accelerometer

被引：0
作者：
Li Fang [1 ]
Shui Yishui [2 ]
Chen Wei [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
[2] Wuhan Univ Technol, Sch Informat Engn, Wuhan, Peoples R China
来源：
2016 IEEE INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC) | 2016年
关键词：
Activity recognition; smartphone; accelerometer; frame rotation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Personal daily travel safety has received increasing attention in recent years. This paper aims at using smartphone accelerometer to recognize human activities, especially up and down buses. By using Matlab and Weka software platform and smart phone accelerometer, we verified the feasibility of using phone accelerometer to identify activities with a high accuracy. It can reach to 95.3% when using KNN classifier. This fruitful work gives explanation of using public resources to deal with personal daily travel safety, and can benefit from low power consumption.
引用
收藏
页码：761 / 765
页数：5
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