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• Development of Gait Recognition in NI LabVIEW

  1-3.

  Dániel Salánki

  Kornél Sarvajcz

  Views:

  142

  Nowadays, one of the most significantly improving area in security is the world of biometric identifiers. Within the biometric identifiers, the research group is working with the gait recognition speciality. The research group realized a complex gait recognition system in NI LabVIEW, that can detect more reference points simultaneously with a universal camera and is capable of suiting predetermined curves on the detected points. Moreover, the program can compare the functions suited on the reference curve and the actual curve and evaluate if the two gait images are the same or not. In the program there is a saving and a reloading function which cont ributes to the production of the reference gait image. The foot analysis program before the gait recognition is designed to improve accuracy. The self-developed gait recognition system was tested on more persons and the False Acceptance Rate (FAR) was zero.

• NI LabVIEW Based Camera System Used for Gait Detection

  1-3.

  Dániel Dániel Salánki

  Kornél Sarvajcz

  Views:

  241

  In these times, with the development of the world, biometric identification systems are becoming more and more widespread. Access control systems, but even the most mid-range smartphones have biometric authentication features, and even ID cards can include a person's fingerprint. The research group previously realized a rudimentary gait recognition system, which was upgraded to a multicamera system with high-resolution cameras and instead of reference points, the new version recognizes different templates. 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 comparison is decided by the definite integrals of the two suited functions. The self-developed gait recognition system was tested by the research team on several test subjects and according to the results, permission was never given to a strange person.

• A Review Regarding Deep Learning Technology in Mobile Robots

  1-5.

  Vlad Ovidiu Mihalca

  Flaviu Birouaș

  Florin Avram

  Arnold Nilgesz

  Views:

  113

  Deep Learning usage is spread across many fields of application. This paper presents details from a selected variety of works published in recent years to illustrate the versatility of the Deep Learning techniques, their potential in current and future research and industry applications as well as their state-of-the-art status in vision tasks, where their efficiency is experimentally proven to near 100% accuracy. The presented applications range from navigation to localization, object recognition and more advanced interactions such as grasping.

• Consensual Pupillometry for Robotic Emotional Recognition

  1-5.

  Róbert Tamás Fekete

  Levente Raj

  Tamas Neumer

  Views:

  98

  The main contribution of this research is to develop of a new measuring device for measuring direct- and consensual light reflex of human pupil. In this case the pupillary light reflex means changing of diameter of pupil due to constant light stimulus as a function of time. Researches certify that the pupil diameter and its change reflects the person’s mental or physical state. There are several “eye tracking” devices available on the market, however, none of these are able to perform a proper consensual measurement. The basic principle of the consensual pupil measurement is that while only one of the eyes is stimulated, reactions of both eyes are being recorded and analyzed. The aim of this project was to develop a software, applicable to an existing prototype device in order to carry out “consensual pupillary reflex” measurements.