Human Recognition based on Gait Features and Genetic Programming

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@Article{Sharma:2014:JRNAL,

• author = "Dipak Sharma and Rahadian Yusuf and Ivan Tanev and Katsunori Shimohara",
• title = "Human Recognition based on Gait Features and Genetic Programming",
• journal = "Journal of Robotics, Networking and Artificial Life",
• year = "2014",
• volume = "1",
• number = "3",
• pages = "194--197",
• month = dec,
• keywords = "genetic algorithms, genetic programming, Human Identification, Biometrics, Genetic Programming, Human Gaits, Nature Inspired Computing",
• ISSN = "2352-6386",
• URL = "http://www.atlantis-press.com/php/download_paper.php?id=14952",
• DOI = "doi:10.2991/jrnal.2014.1.3.5",
• size = "4 pages",
• 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 behaviours 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",
• notes = "http://www.atlantis-press.com/publications/jrnal/",

}

Genetic Programming entries for Dipak Gaire Sharma Rahadian Yusuf Ivan T Tanev Katsunori Shimohara

Citations