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.2014.1.3.5How to use a DOI?
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/).