Personal Authentication with Walking Motion Based on Gathered Images and Neural Networks

カテゴリ: 部門大会

論文No: OS2-1

グループ名: 【C】2021年電気学会電子・情報・システム部門大会

発行日: 2021/09/08

タイトル(英語): Personal Authentication with Walking Motion Based on Gathered Images and Neural Networks

著者名: 伊藤 伸一（徳島大学）,門脇 光紀（徳島大学）,伊藤 桃代（徳島大学）,福見 稔（徳島大学）

著者名(英語): Shinichi Ito (Tokushima University),Hironori Kadowaki (Tokushima University),Momoyo Ito (Tokushima University),Minoru Fukumi (Tokushima University)

キーワード: Personal Authentication|Walking Motion|Gathered Image|Neural Networks|Personal Authentication|Walking Motion|Gathered Image|Neural Networks

要約(日本語): This paper introduces a method to create a personal authentication using a gathered image creation technique and neural networks. The gathered image creation is used to extract a feature of human walking motion. The neural networks are used to feature extraction and personal authentication. To show the effectiveness of the proposed method, we do computer simulations.

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