Recognition Algorithm of Activity Recognition Based on Single Accelerometer

摘要：

　　In order to improve the accuracy and variety of human motion recognition in the acceleration signal recognition.In this experiment,in addition to the station,lying,sitting,walking,running,walking speed,upstairs,downstairs action recognition of traditional research,this paper also adds to the left turn right 180 degrees,180 degrees,90 degrees,turn left,turn right 90 degrees,from lying to sitting,sitting from the station,from the station to sit down.Sixteen kinds of action from sit to,and used to monitor human motion more accurately.In this paper,a new SVM-KNN hierarchical classification model is proposed to identify the sixteen kinds of human actions.The experimental results show that the recognition algorithm has a high recognition rate.

关键词： Acceleration Sensor Monitor SVM-KNN Hierarchical Classification

作者: Yan JianZhuo Li DongPei

作者单位: Faculty of Information Technology,Beijing University of echnology,No.100,Pingleyuan,Chaoyang,Beijing,China

会议类型: 国际会议

会议名称: 2017 6th International Conference on Advanced Materials and Computer Science (ICAMCS 2017) 2017年第六届先进材料与计算机科学国际会议(ICAMCS 2017)

会议地点: 郑州

会议语种:英文

页码: 1-5

在线出版日期: 2017-04-29（万方平台首次上网日期，不代表论文的发表时间）