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Vol. 238, Issue 11, November 2019, pp. 1-7

 

Bullet

 

Data Analysis of Frequency-analog Signals of a Humidity Sensor
to Improve the Detection of Fakes
 

Anett BAILLEU

HTW Berlin University of Applied Science, FB I Energy and Information, Wilhelminenhofstr. 75 A, 12459 Berlin, Germany
Tel.: +49 30 5019 3341

E-mail: anett.bailleu@htw-berlin.de

 

Received: 30 August 2019 /Accepted: 15 October 2019 /Published: 30 November 2019

Digital Sensors and Sensor Sysstems

 

Abstract: The aim of the described solution is to detect the vitality of presented measurement objects. Therefore, a capacitive sensor is used. The output signal of the sensor is a frequency. The frequency-analog output signal is depending on the humidity of the measurement object. The sampled frequencies data, monitored like dynamic time series data, have been analyzed to develop an efficient binary classifier. The classifier functions as a vitality checker. Vitality checkers are useful additional tools in the field of biometric applications to improve the security of such systems.

 

Keywords: Analysis of frequency-analog time series data, Vitality checker, Binary classifier.

 

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