Development of a Gait Recognition System in NI LabVIEW Programming Language

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Abstract

Nowadays, the biometric identifier’s world is one of the most rapidly developing security technology areas. Within the biometric identification, the research team worked in the area of gait recognition. The research team developed a complex walking recognition system in NI LabVIEW environment that can detect multiple simultaneous reference points using a universal camera and capable of matching a predetermined curve to the collected samples. In the first version, real-time processing was done with a single camera, while in the second, two high-resolution cameras work with post-processing. The program can compare and evaluate the functions that are matched to the reference curve and the current curve in a specific way, whether two walking images are identical. The self-developed gait recognition system was tested on several test subjects by the research team and according to the results, the False Acceptance Rate was zero.

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