University of Twente Student Theses


The possibility of digitally recognizing a person using scent

Frijters, G. (2019) The possibility of digitally recognizing a person using scent.

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Abstract:In this study Gas Chromatography Mass Spectrograph (GC-MS) data was compared to look for similarities and differences, after which in future research a potential classifier can be designed. The data collection was done at Saxion University of Applied Sciences. Scent was collected from the hands of four persons which was then put through a GC-MS. The output data was used for the analysis using MATLAB. Difference analysis, cross correlations, threshold/peak detection and combinations of these three were done to compare the data. The amount of measured persons was too low to get to significant results. Based on the gathered data, it can be concluded that there are measurable differences between different persons. However, the cause of the differences remains unclear. The results of this study support the plausibility of discriminatory scent present in the human odor, however more analysis and test-subjects are needed to verify this hypothesis.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
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