Development of Virtual Manufacturing Architecture Using Wearable Sensor, Image Processing and 3D CAD System

  • Authors

    • Gandjar Kiswanto
    • Adjeng Ayu Setiani
    • Dody Rakhmat Ramadhan
    • Ferdiansyah Zhultriza
    • Muhammad Fathin Juzar
    • Rachmad Muhammad Suryantoro
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.16.27844
  • Computer-Aided Design, Image Processing, Muscle Contraction, Virtual Manufacturing, Wearable Sensor.
  • This research aims to develop an architecture that can read the movement and contraction of human arm muscles to allow human interact with virtual objects in a novel way. Experiments were conducted to allow users to have both kinesthetic and visual interaction with virtual objects by combining biofeedback from electromyogram (EMG), kinesthetic and visual information from hand image processing. From the results of the research, this model architecture allows virtual objects to be grasped, moved and dropped through muscle exertion classification based on physical world masses.

     

     

  • References

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  • How to Cite

    Kiswanto, G., Ayu Setiani, A., Rakhmat Ramadhan, D., Zhultriza, F., Fathin Juzar, M., & Muhammad Suryantoro, R. (2018). Development of Virtual Manufacturing Architecture Using Wearable Sensor, Image Processing and 3D CAD System. International Journal of Engineering & Technology, 7(4.16), 255-257. https://doi.org/10.14419/ijet.v7i4.16.27844