Development of Hand Tracking and Hand Recognition for Virtual Manufacturing

  • Authors

    • Gandjar Kiswanto
    • Dody Rakhmat Ramadhan
    • Adjeng Ayu Setiani
    • Ferdiansyah Zhultriz
    • Muhammad Fathin Juzar
    • Rachmad Muhammad Suryantoro
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.16.21792
  • Simulation, Background Subtraction, CAMSHIFT, convex hull, virtual manufacturing
  • Development of information and technology very rapidly encourage people to create a simulation system. This simulation system can be used to simulate the manufacturing field. To make this simulation become more naturally it is used hand tracking and hand recognition as input device. This paper discusses the implementation background subtraction, CAMSHIFT and convex hull algorithms for Hand Tracking and Hand Recognition. Input given in the form of palm coordinates then the system will do the tracking by creating boundaries rectangle. Then separated between the hand image and the background on the boundaries. After that done calculate image processing to determine the pose of the hand. The result of this research is a system that will perform tracking and recognition and then the result next stage to be simulated

     

     

  • References

    1. [1] G. Bradski, “Computer Vision Face Tracking For Use in a Perceptual User Interface,†Intel Technology Journal, 1998.

      [2] V. H. Amiraj Dhawan, “mplementation of Hand Detection based Techniques for,†International Journal of Computer Applications, vol. 72, 2013.

      [3] R. C. R. E. W. a. S. L. E. Gonzalez, “Digital image processing using,†Gatesmark Publishing, vol. 2, 2009.

      [4] S. S. Deepjoy Das, “Implementation And Performance Evaluation Of Background Subtraction Algorithms,†International Journal on Computational Sciences & Applications , vol. 2, 2014.

      [5] P. Hidayatullah, Pengolahan Citra Digital, Bandung: INFORMATIKA, 2017.

      [6] “OpenCV,†OpenCV, 23 February 2018. [Online]. Available: https://docs.opencv.org/3.4.1/d7/d4d/tutorial_py_thresholding.html. [Accessed 14 July 2018].

      [7] M. J. Y. a. H. S. Ren, “Tracing boundary contours in a binary image,†Image and vision computing, 2002.

  • Downloads

  • How to Cite

    Kiswanto, G., Rakhmat Ramadhan, D., Ayu Setiani, A., Zhultriz, F., Fathin Juzar, M., & Muhammad Suryantoro, R. (2018). Development of Hand Tracking and Hand Recognition for Virtual Manufacturing. International Journal of Engineering & Technology, 7(4.16), 124-127. https://doi.org/10.14419/ijet.v7i4.16.21792