ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P1-P11
会議情報
2P1-P11 距離画像センサを用いた形状データによる個人特徴量推定(デジタルヒューマン)
牧 桂太郎鮫島 一平加賀美 聡河内 まき子溝口 博
著者情報
会議録・要旨集 フリー

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抄録
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%.
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© 2012 一般社団法人 日本機械学会
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