Abstract
A service robot can provide the advanced service suitable for the person by not only recognizing people, but also identifying and classifying people. Therefore, in this study, a classification of people and identification function are realized by computing the amount of the features which expresses a form from people's size. I performed a multiple regression analysis from the measure of human body which can be presumed from KinectSDK to the "individual feature quantity" extracted from measure of human body data using principal component analysis. As a result, it was shown that the first main ingredients of individual feature quantity can be expressed by the contribution of 88.9%, and the second main ingredients can be expressed by the contribution of 76.1%.
