Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method
Joint Authors
Fariman, Hessam Jahani
Roohi, Jaber
Sadoghi Yazdi, Hadi
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a human gait recognition algorithm based on a leg gesture separation.
Main innovation in this paper is gait recognition using leg gesture classification which is invariant to covariate conditions during walking sequence and just focuses on underbody motions and a neuro-fuzzy combiner classifier (NFCC) which derives a high precision recognition system.
At the end, performance of the proposed algorithm has been validated by using the HumanID Gait Challenge data set (HGCD), the largest gait benchmarking data set with 122 objects with different realistic parameters including viewpoint, shoe, surface, carrying condition, and time.
And it has been compared to recent algorithm of gait recognition.
American Psychological Association (APA)
Sadoghi Yazdi, Hadi& Fariman, Hessam Jahani& Roohi, Jaber. 2011. Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method. ISRN Artificial Intelligence،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-460695
Modern Language Association (MLA)
Sadoghi Yazdi, Hadi…[et al.]. Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method. ISRN Artificial Intelligence No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-460695
American Medical Association (AMA)
Sadoghi Yazdi, Hadi& Fariman, Hessam Jahani& Roohi, Jaber. Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method. ISRN Artificial Intelligence. 2011. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-460695
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460695