publication . Article . 2017

A Study on EMG-based Biometrics

Jin Su Kim; Sung Bum Pan;
Open Access English
  • Published: 01 May 2017 Journal: Journal of Internet Services and Information Security, volume 7, issue 2, pages 19-31 (issn: 2182-2069, eissn: 2182-2077, Copyright policy)
  • Publisher: Innovative Information Science & Technology Research Group (ISYOU)
Abstract
Biometrics is a technology that recognizes user's information by using unique physical features of his or her body such as face, fingerprint, and iris. It also uses behavioral features such as signature, electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG). Among them, the EMG signal is a sign generated when the muscles move, which can be used in various fields such as motion recognition, personal identification, and disease diagnosis. In this paper, we analyze EMG-based biometrics and implement a motion recognition and personal identification system. The system extracted features using non-uniform filter bank and Waveform Length (WL), a...
Subjects
free text keywords: Electromyogram, Biometrics, Personal Authentication, lcsh:Electronic computers. Computer science, lcsh:QA75.5-76.95
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