Review on Gait Recognition Using Artificial Intelligence
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 112 | Views: 307

Review Papers | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016 | Popularity: 6.2 / 10


     

Review on Gait Recognition Using Artificial Intelligence

Drishty, Jasmeen Gill


Abstract: Human identification by means of gait recognition has proved to be a boon to forensic science as well as to medical field. Since it offers the benefit of recognizing a person from a far distance and even with covered face, this technique has changed the vision of community. Gait recognition aims at identifying a person, purely by analysis of the way he or she walks. This article surveys the major milestones in the field of automatic gait recognition. Apart from briefing the major issues, the article also provides description of diverse gait classifiers like artificial neural networks, support vector machines, genetic algorithms, and fuzzy logic.


Keywords: Gait Recognition, ANN, BPNN, SVM, PCA, ICA


Edition: Volume 5 Issue 11, November 2016


Pages: 1892 - 1896



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Drishty, Jasmeen Gill, "Review on Gait Recognition Using Artificial Intelligence", International Journal of Science and Research (IJSR), Volume 5 Issue 11, November 2016, pp. 1892-1896, https://www.ijsr.net/getabstract.php?paperid=ART20163255, DOI: https://www.doi.org/10.21275/ART20163255

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