A machine learning approach for posture recognition based on simplified shock graph
Nooritawati Md Tahir, Aini Hussain, Salina Abdul Samad, Hafizah Husain · 2009
In this paper, posture classification using Simplified Shock Graph as feature vectors based on two machine learning techniques namely Artificial Neural Network along with Support Vector Machine are investigated. Initial results showed that both classifiers are able to classify the four main postures with high recognition rate. Moreover, the tremendous performance of Support Vector Machine (SVM) as classifier is confirmed based on the Kappa Score calculated. Initial findings have proven that SSG is apt as feature vectors for posture recognition whilst ANN and SVM were apposite to perform the classification task.