Gait-based gender classification in unconstrained environments

• Main Authors: Huang, T. S., Lu, Jiwen, Wang, Gang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/99397; http://hdl.handle.net/10220/12869
• Institution: Nanyang Technological University

This paper investigates the problem of gait-based gender classification in unconstrained environments. Different from existing human gait analysis and recognition methods which assume that humans walk in controlled environments, we aim to recognize human gender from uncontrolled gaits in which peopl...