Photoplethysmographic authentication through fuzzy logic

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.