Photoplethysmographic authentication through fuzzy logic

Author

Gu, Y.Y. ; Zhang, Y.T.

Author_Institution

Joint Res. Center for Biomed. Eng., Chinese Univ. of Hong Kong, Shatin, China

fYear

2003

fDate

20-22 Oct. 2003

Firstpage

136

Lastpage

137

Abstract

This paper presents a fuzzy logic approach to investigate the feasibility of using photoplethysmographic (PPG) signals as a new method for human verification. PPG signals were obtained from the fingertip with a group of seventeen healthy subjects, and four distinctive features extracted were used as the fuzzy inputs for classification. The successful rate of the fuzzy-based decision-making can reach up to 94% within the same trial, and 82.3% with two different trials. The result indicates that the new biometrics based on PPG signals is potentially applicable for human verification. This study is an addendum to our work carried out earlier.

Keywords

biomedical transducers; biometrics (access control); decision making; feature extraction; fuzzy logic; pattern classification; plethysmography; security; biometrics; fingertip; fuzzy logic; fuzzy-based decision-making; human verification; photoplethysmographic authentication; signal classification; Authentication; Biometrics; Decision making; Electrocardiography; Electroencephalography; Fingerprint recognition; Fingers; Frequency; Fuzzy logic; Humans;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on

Print_ISBN

0-7803-7943-8

Type

conf

DOI

10.1109/APBME.2003.1302621

Filename

1302621