scholarly journals Gait Data for Efficient Gender Recognition

Author(s):  
Zehra KARAPINAR ŞENTÜRK
Keyword(s):  
2017 ◽  
Vol 9 (4) ◽  
pp. 347 ◽  
Author(s):  
Ahmad B. Hassanat ◽  
V.B. Surya Prasath ◽  
Bassam M. Al Mahadeen ◽  
Samaher Madallah Moslem Alhasanat

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3983
Author(s):  
Ozren Gamulin ◽  
Marko Škrabić ◽  
Kristina Serec ◽  
Matej Par ◽  
Marija Baković ◽  
...  

Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events.


2004 ◽  
Vol 63 (6) ◽  
pp. 443-449 ◽  
Author(s):  
Alessandro Cellerino ◽  
Davide Borghetti ◽  
Ferdinando Sartucci

2005 ◽  
Vol 11 (10) ◽  
pp. 33-35
Author(s):  
J. Goldby ◽  
C. Klendjian
Keyword(s):  

1978 ◽  
Vol 23 (2) ◽  
pp. 145-152 ◽  
Author(s):  
Catharine D. Barclay ◽  
James E. Cutting ◽  
Lynn T. Kozlowski

2013 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Mokhtar Taffar ◽  
Serge Miguet ◽  
Mohammed Benmohammed
Keyword(s):  

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