การพัฒนาโปรแกรมวิเคราะห์พฤติกรรมการวิ่ง

Abstract

Running is popular sport and convenient for everybody. Human running behavior can risk of injury caused by abnormal running gesture, excessive exercise or do not care running injury. This thesis proposed to running pattern monitoring for abnormal running analysis and reduce risk of running injury. The system divided into two part. There are running gestures monitoring and running stop suddenly. The design use accelerometer in smartphone for running pattern detection and running gestures recognition use Signal Vector Magnitude (SVM) algorithm. The data collected into log file in smartphone. The accuracy of running gestures about 100 percentages and the accuracy of running stop suddenly about 92 percentages.