Hand Tremor Based Biometric Recognition Using Leap Motion Device
| dc.contributor.author | Ataş, Musa | |
| dc.date.accessioned | 2019-11-05T13:03:05Z | |
| dc.date.available | 2019-11-05T13:03:05Z | |
| dc.date.issued | 2017-10-20 | |
| dc.department | Belirlenecek | en_US |
| dc.description.abstract | In this paper, the applicability of hand tremor-based biometric recognition via leap motion device is investigated. The hypothesis is that the hand tremor is unique for humans and can be utilized as a biometric identification. In order to verify our hypothesis, spatiotemporal hand tremor signals are acquired from subjects. The objective is to establish a live and secure identification system to avoid mimic and cloning of password by attackers. Various feature extraction methods, including statistical, fast Fourier transform, discrete wavelet transform, and 1-D local binary pattern are used. For evaluating recognition performance, Naïve Bayes and Multi-Layer Perceptron are utilized as linear-simple and nonlinear-complex classifiers, respectively. Since the conducted experiments produced promising results (above 95% of classification accuracy rate), it is considered that the proposed approach has the potential to be used as a new biometric identification manner in the field of security. | en_US |
| dc.identifier.citation | Ataş, Musa. "Hand tremor based biometric recognition using leap motion device." IEEE Access 5 (2017): 23320-23326. | en_US |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.scopus | 2-s2.0-85032658809 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12604/872 | |
| dc.identifier.wos | WOS:000415170700030 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE ACCESS | en_US |
| dc.relation.ispartofseries | IEEE ACCESS;17381159 | |
| dc.relation.publicationcategory | Uluslararası Hakemli Dergi Makalesi | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.snmz | KG_20241224 | |
| dc.subject | Feature extraction , Data acquisition , Discrete wavelet transforms , Object recognition , Biometrics (access control) , Authentication , Software | en_US |
| dc.title | Hand Tremor Based Biometric Recognition Using Leap Motion Device | en_US |
| dc.type | Article | en_US |
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