Up and Dwon Buses Activity Recognition using Smartphone Accelerometer
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.
Activity recognition smartphone accelerometer frame rotation
Li Fang Shui Yishui Chen Wei
School of Automation Wuhan University of Technology Wuhan,China School of Information Engineering Wuhan University of Technology Wuhan,China
国际会议
重庆
英文
761-765
2016-03-20(万方平台首次上网日期,不代表论文的发表时间)