Authors
Dipak Gaire Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
Corresponding Author
Dipak Gaire Sharma
Available Online 15 December 2014.
DOI
https://doi.org/10.2991/jrnal.2014.1.3.5
Keywords
Human Identification, Biometrics, Genetic Programming, Human Gaits, Nature
Inspired Computing
Abstract
Human walking has always been the curious field of research for different
disciple of social and information science. The study of human walk or
human gait in association with different behaviors and emotions has not
only fascinated social science researchers, but its uniqueness has also
attracted many computer scientists to work in this arena for the quest
of uncovering reliable mechanisms of biometric identification. In this
research, we used a novel method for human identification based on inferring
the relationship between the human gait features via genetic programming.
Moreover, we focus on generating the unique numerical signature that is
similar for different locomotion gaits of a particular individual but different
across different individuals.
Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).