Human Recognition based on Gait Features and Genetic Programming
- 10.2991/jrnal.2014.1.3.5How to use a DOI?
- Human Identification, Biometrics, Genetic Programming, Human Gaits, Nature Inspired Computing
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.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Dipak Gaire Sharma AU - Rahadian Yusuf AU - Ivan Tanev AU - Katsunori Shimohara PY - 2014 DA - 2014/12/15 TI - Human Recognition based on Gait Features and Genetic Programming JO - Journal of Robotics, Networking and Artificial Life SP - 194 EP - 197 VL - 1 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2014.1.3.5 DO - 10.2991/jrnal.2014.1.3.5 ID - Sharma2014 ER -