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AMI
2015
Springer

Person Identification by Analyzing Door Accelerations in Time and Frequency Domain

4 years 10 months ago
Person Identification by Analyzing Door Accelerations in Time and Frequency Domain
The paper describes an approach for recognizing a person entering a room using only door accelerations. The approach analyzes the acceleration signal in time and frequency domain. For each domain two types of methods were developed: (i) feature-based – use features to describe the acceleration and then uses classification method to identify the person; (ii) signal-based – use the acceleration signal as input and finds the most similar ones in order to identify the person. The four methods were evaluated on a dataset of 1005 entrances recorded by 12 people. The results show that the time-domain methods achieve significantly higher accuracy compared to the frequency-domain methods, with signalbased method achieving 86% accuracy. Additionally, the four methods were combined and all 15 combinations were examined. The best performing combined method increased the accuracy to 90%. The results confirm that it is possible to identify a person entering a room using the door’s acceleration...
Hristijan Gjoreski, Rok Piltaver, Matjaz Gams
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where AMI
Authors Hristijan Gjoreski, Rok Piltaver, Matjaz Gams
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