Wearable Posture Recognition System Based on Kernel Function SVM
Yizhi Wu · Jisuanji gongcheng · 2010
This paper designs a wearable posture recognition system based on kernel-based Support Vector Machines(SVM).With the characteristic parameters extraction of tilt sensors embedded in garments,it completes posture classification using two kinds of classification algorithms.Experiment which is subjected to five testers shows that using kernel-based SVM can give the best performance,and the designed system can make a good recognition rate when classifying everyday posture,which has a considerable value in the remote monitoring field.