A New Approach for Gender Classification Based on Gait Analysis

2009 ◽  
Author(s):  
Maodi Hu ◽  
Yunhong Wang
Keyword(s):  
Gait Analysis ◽  
Gender Classification ◽  
New Approach

Gait Analysis for Gender Classification in Forensics

2019 ◽  
pp. 180-190 ◽  
Author(s):  
Paola Barra ◽  
Carmen Bisogni ◽  
Michele Nappi ◽  
David Freire-Obregón ◽  
Modesto Castrillón-Santana
Keyword(s):  
Gait Analysis ◽  
Gender Classification

Gaitabase: New approach to clinical gait analysis

2006 ◽  
Vol 24 ◽  
pp. S52-S53 ◽  
Author(s):  
Oren Tirosh ◽  
Richard Baker
Keyword(s):  
Gait Analysis ◽  
New Approach ◽  
Clinical Gait Analysis

Gender classification via wearable gait analysis sensor

2018 ◽  
Author(s):  
Abdulkadir Gumuscu ◽  
Kerim Karadag ◽  
Mustafa Caliskan ◽  
Mehmet Emin Tenekeci ◽  
Dursun Akaslan
Keyword(s):  
Gait Analysis ◽  
Gender Classification

scholarly journals Gender Classification Based on Multiscale Facial Fusion Feature

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Chunyu Zhang ◽  
Hui Ding ◽  
Yuanyuan Shang ◽  
Zhuhong Shao ◽  
Xiaoyan Fu
Keyword(s):  
Local Binary Pattern ◽  
State Of The Art ◽  
Support Vector ◽  
Gender Classification ◽  
Local Phase ◽  
New Approach ◽  
Local Phase Quantization ◽  
Face Images ◽  
Phase Quantization ◽  
Fusion Feature

For gender classification, we present a new approach based on Multiscale facial fusion feature (MS3F) to classify gender from face images. Fusion feature is extracted by the combination of Local Binary Pattern (LBP) and Local Phase Quantization (LPQ) descriptors, and a multiscale feature is generated through Multiblock (MB) and Multilevel (ML) methods. Support Vector Machine (SVM) is employed as the classifier to conduct gender classification. All the experiments are performed based on the Images of Groups (IoG) dataset. The results demonstrate that the application of Multiscale fusion feature greatly improves the performance of gender classification, and our approach outperforms the state-of-the-art techniques.

Sign in / Sign up

Export Citation Format

Share Document