Selection of Features for User Authentication System Using Surface Electromyogram Signals

• Hirata, Konomi

• 横山, 美波

• Yamaba, Hisaaki

• Aburada, Kentaro

• Okazaki, Naonobu

• Yokoyama, Minami

Bibliographic Information

Other Title

• 表面筋電位を用いた認証システム実装のための筋電波形の特徴量の選出

Abstract

At the present time, mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, are detected over the skin surface. Muscle movement can be differentiated by analyzing the s-EMG. We carried out a series of experiments to investigate the prospect of an authentication method using s-EMGs in the past. We also proposed the authentication method using the combination of gesture as password. The method compares the myoelectric waveforms generated and to judge whether both are the same by Support Vector Machine(SVM). The judge needs more suitable extraction of features of myoelectric waveforms. In this paper, we investigate the selection of the most appropriate features for user authentication system using surface electromyogram signals.

Journal

• Memoirs of Faculty of Engineering, University of Miyazaki

  Memoirs of Faculty of Engineering, University of Miyazaki 47 315-319, 2018-07

  宮崎大学工学部

Keywords

• mobile device, user authentication, shoulder surfing, electromyogram

Details

• CRID: 1050007314766037632
• NII Article ID: 120007120662
• NII Book ID: AA00732558
• ISSN: 05404924
• HANDLE: 10458/6452
• Web Site: https://miyazaki-u.repo.nii.ac.jp/records/5695
• Text Lang: ja
• Article Type: departmental bulletin paper
• Data Source:
  • IRDB
  • CiNii Articles
  • KAKEN