10P-B-1 自己組織化マップを用いたジェスチャー認証 : 複数マップによる分析と評価(B会場 一般講演)

• Published in: バイオメディカル・ファジィ・システム学会大会講演論文集 Vol. 23; pp. 195 - 198
• Main Authors: 斎藤, 恵一, 納富, 一宏, 中山, 亮介
• Format: Journal Article
• Language: Japanese
• Published: バイオメディカル・ファジィ・システム学会 2010; Biomedical Fuzzy Systems Association
• Subjects: acceleration sensors; authentication; gesture; security; Self-organizing Maps
• ISSN: 1345-1510; 2424-2586
• DOI: 10.24466/pacbfsa.23.0_195

Personal authentication becomes ubiquitous because the number of Internet users is increasing. People are used to input their name and password but a password-based authentication is vulnerable because it is easy to leak a password. For this reason, people will need a more secure authentication method. In this article, we propose a gesture authentication method, which is one of biometrics authentication. It uses self-organizing maps (SOM) to authenticate users because it can learn each gesture characteristics and secular change. We experimented with a game controller which mounts acceleration sensors and evaluated an availability of multi-maps gesture authentication. As the result, our method obtains over 90% accuracy but map size or the number of subjects in a map seems to be ill-fitted. We will verify the accuracy of authentication under other conditions of varied sizes of maps and varied numbers of subjects.