The development of reducing risk system for running injury
Sayamon Buddhamongkol, Wannarat Suntiamorntut · 2016
This paper describes the detection and monitoring human running for alert and reduces a risk of injuries. The design divided into two part. There are comprised of the detection of stop suddenly running and the monitoring ground force reaction (GFR) of human running behavior for analysis running gesture in medical. Design and development using the accelerometer based on a smartphone. The recognition using the Support Vector Magnitude (SVM) algorithm for detected stop suddenly running and the third of Newton's laws for calculated GFR. The system alert using the vibrator of smartphone and collected into a log file for monitoring human posture. The experimental results using true classification rate for analyzing the performance of SVM acceleration and represented the corrected of human running stop suddenly. For male runner accuracy about 97 percentage and female runner accuracy about 94 percentage.