1406 Kinectを用いた個人認証に関する研究(OS11-1 ヒューマンインタフェース・ユーザビリティI,OS11 ヒューマンインタフェース・ユーザビリティ)
詳細
Importance of personal authentication increases according to the progress of advanced information society and web service. This paper describes the personal authentication by using Kinect sensor. Feature quantities of the human face and the human voice are obtained through the Kinect sensor. Personal authentication is performed with the machine learning algorithms with the feature quantities. The neural network, support vector machine and Bayesian network are compared in the experimental results. The results show that the neural network is the most promising.
