Labview-based human gait recognition system design via deterministic learning

Author

Chunyan Chen ; Cong Wang ; Wei Zeng

Author_Institution

Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China

fYear

2012

fDate

15-17 July 2012

Firstpage

759

Lastpage

764

Abstract

In this paper, based on a newly presented approach for human gait recognition via deterministic learning theory, we construct a prototype for gait recognition system, display the recognition process by using the Labview-based platform and improve the recognition speed. Combined with the recognition approach and the characteristics of Labview software, the graphical programming language of Labview achieves application in human gait recognition system. The effectiveness and rapidness of the gait recognition approach under multi-pattern is verified on the NLPR gait database. The recognition speed is improved by using the parallel programming mode of Labview and the multi-core CPU of A840r-H Dawning Server.

Keywords

gait analysis; image recognition; learning (artificial intelligence); multiprocessing systems; parallel programming; virtual instrumentation; visual databases; visual languages; A840r-H Dawning Server; Labview software; Labview-based human gait recognition system design; NLPR gait database; deterministic learning theory; graphical programming language; multicore CPU; multipattern; parallel programming mode; recognition speed; Databases; Humans; Joints; Programming; Servers; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4577-2144-1

Type

conf

DOI

10.1109/ICICIP.2012.6391468

Filename

6391468