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• Application of OptiTrack Motion Capture Systems in Human Movement Analysis: A systematic Literature Review

  1-9.

  Gergely Nagymáté

  Rita M. Kiss

  Views:

  3622

  With the spreading of motion analysis decisions to invest into a new system demand scientific reference applications. The aim of the present systematic review is to reveal the biomechanical scientific applications of OptiTrack motion capture systems and to overview documented usage conditions and purposes. Six major scientific literature databases were used (PubMed, PubMed Central, ScienceDirect, IEEE Xplore, PLOS and Web Of Science). An OptiTrack camera system had to be used for human or biologically related motion capture. A total of 85 articles were included, 4 out of which dealt with the validation
  of OptiTrack systems and 81 utilized the system for biomechanical analyses. The data analysed and extracted from the system validation studies included: description of the validated and the reference system, measured features and observed errors. The data extracted from the utilizing studies also included: OptiTrack application, camera type and frequency, marker size, camera number, data processing software and the motion studied. The review offers a broad collection of biomechanical applications of OptiTrack motion capture systems as scientific references for certain motion studies. The review also summarizes findings on the accuracy of the systems. It concludes that the method descriptions of system usage are often underspecified.

• Hopping Rover Navigation Method for Rugged Environments

  1-6.

  Gabor Kovacs

  Yasuharu Kunii

  Hideki Hashimoto

  Views:

  258

  In this paper a navigation method is presented for space exploration robots using hopping motion in environments with large elevation differences. A monocular camera system is used to reconstruct the flight trajectory and environment around the robot using Structure from Motion while traveling. The created environmental point cloud is projected to 2D to create a variable resolution image and image processing is used to find the most suitable position for the next landing based on normals with the help of gradient maps and error estimation. The method is evaluated in a simulation environment against the previously used protrusion based method to show that the proposed system can extend the operation of the robot to terrains with large elevation differences while still successfully avoid obstacles and dangerous areas.

• NI LabVIEW Based Camera System Used for Gait Detection

  1-3.

  Dániel Dániel Salánki

  Kornél Sarvajcz

  Views:

  200

  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.

• Designing an ATmega328 Microcontroller Based Gesture-controlled IoT UGV Unit and Creating a Camera System Using Linux Distribution

  1-7.

  László Krucsó

  Timotei István Erdei

  Tibor Péter Kapusi

  Géza Husi

  Views:

  202

  The topic of the research is the design and building of a UGV (Unmanned Ground Vehicle), which we can control wirelessly with a glove designed for this purpose. The design and use of this gesture-controlled robot can be observed in this summary. A camera will be installed on the robot unit, whose image we can query through the local network. Furthermore, the hardware and software for this camera system will be described as well.

• Development of Gait Recognition in NI LabVIEW

  1-3.

  Dániel Salánki

  Kornél Sarvajcz

  Views:

  93

  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.