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A Survey Paper on the Gender Recognition Techniques

Published on May 2015 by Manoj Bahel, Pulkit Raycha, Annu Gandhi Mishra, Harsha Janghel
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National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 1
May 2015
Authors: Manoj Bahel, Pulkit Raycha, Annu Gandhi Mishra, Harsha Janghel
5dfd00ac-f8d8-4bd8-a4b8-effa48860a2e

Manoj Bahel, Pulkit Raycha, Annu Gandhi Mishra, Harsha Janghel . A Survey Paper on the Gender Recognition Techniques. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 1 (May 2015), 22-25.

@article{
author = { Manoj Bahel, Pulkit Raycha, Annu Gandhi Mishra, Harsha Janghel },
title = { A Survey Paper on the Gender Recognition Techniques },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 22-25 },
numpages = 4,
url = { /proceedings/acewrm2015/number1/20896-6012/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Manoj Bahel
%A Pulkit Raycha
%A Annu Gandhi Mishra
%A Harsha Janghel
%T A Survey Paper on the Gender Recognition Techniques
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 1
%P 22-25
%D 2015
%I International Journal of Computer Applications
Abstract

Gender is one of the important demographic features of human being. Gender recognition is very important perceptible task as most of the human interaction is based on such gender perception. Investigation of human gender with the help of computer based perception is an interesting topic to be studied. This paper presents the study to perceive human gender on the basis on movements of the body part including the still position of human body. Human movements, for example, running, walking or climbing has been formerly proposed to identify the gender of the person. This paper surveys the approaches based on this technique. It also points out the hurdles to implement this method. We also study how different body parts help as to implement this method. This paper also surveys a brief about different approaches and obstacles that come in implementing different methods in recognizing the gender with help of computerized vision.

References
  1. Choon Boon Ng, Yong Haur Tay, Bok Min Goi, "Vision-based Human Gender Recognition: A Survey".
  2. Xuelong Li, Stephen J. Maybank, Shuicheng Yan, Dacheng Tao, Dong Xu, "Gait Components and their Application to Gender Recognition", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART C: APPLICATION AND REVIEWS, VOL. 38, NO. 2, MARCH 2008.
  3. L. Lee W. E. L. Grimson, "Gait Analysis for Recognition and Classification", Preceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR'02), pages 1-8, 2002.
  4. Sverker Runeson and Gunilla Frykholm "Kinematic Specification of Dynamics as an Informational Basis for Person-and-Action Perception: Expectation, Gender Recognition, and Deceptive Intention", Journal of Experimental Psychology: General 1983, Vol. 112, No. 4, 585-615.
  5. M. S. Nixon*, J. N. Carter*, J. M. Nash*, P. S. Huang*, D. Cunado*, and S. V. Stevenage+ "Automatic Gait Recognition" page 1-7.
  6. Matthew Collins, Jianguo Zhang, Paul Miller, Hongbin Wang "Full body image feature representations for gender profiling"
  7. Fani Loula, Sapna Prasad, Kent Harber, and Maggie Shiffrar Rutgers "Recognizing People From Their Movement" Journal of Experimental Psychology: Human Perception and Performance 2005, Vol. 31, No. 1, 210–220.
Index Terms

Computer Science
Information Sciences

Keywords

Gender Gender Recognition Gait Geometric Classification Eigen Face Pca.