Human Recognition based on Gait Features and Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Sharma:2014:JRNAL,
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author = "Dipak Sharma and Rahadian Yusuf and Ivan Tanev and
Katsunori Shimohara",
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title = "Human Recognition based on Gait Features and Genetic
Programming",
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journal = "Journal of Robotics, Networking and Artificial Life",
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year = "2014",
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volume = "1",
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number = "3",
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pages = "194--197",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Human
Identification, Biometrics, Genetic Programming, Human
Gaits, Nature Inspired Computing",
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ISSN = "2352-6386",
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URL = "http://www.atlantis-press.com/php/download_paper.php?id=14952",
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DOI = "doi:10.2991/jrnal.2014.1.3.5",
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size = "4 pages",
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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