Output details
11 - Computer Science and Informatics
Birkbeck College
Article title
Gait Components and Their Application to Gender Recognition
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
Article number
-
Volume number
38
Issue number
2
First page of article
145
ISSN of journal
1094-6977
Year of publication
2008
URL
-
Number of additional authors
4
Additional information
<23> Human gait is a very promising biometric that can be obtained at near or far distances and without any special cooperation by the subject. This paper describes a novel method for gender recognition using an average gait, defined as the mean image obtained over a gait cycle.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Computational Intelligence
Citation count
90
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-