Characterization of Biceps Brachii Muscle Contraction Using Electromyogram Sensor for Virtual Manufacturing Process

  • Authors

    • Gandjar Kiswanto
    • Rachmad Mochammad Suryantoro
    • Adjeng Ayu Setiani
    • Dody Rakhmat Ramadhan
    • Ferdiansyah Zhultriza
    • Muhammad Fathin Juzar
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.16.21770
  • Computer-Aided Design, Electrode, Electromyogram, Manufacture, Virtual Manufacturing

  • For the product development process, producers applied a variety of ways to make their products respond to market needs, with a shift in consumer trends that want more specific products, engineers begin to develop new methods to produce an efficient, time-cost, able to accommodate it well, manufacturers can minimize or completely eliminate the phases of physical prototyping, which impact on both cost and time efficiency, now the Virtual Manufacturing process uses more Virtual Reality, and this has an impact on more artificial processes this paper the researcher tries to combine the method of Virtual Manufacturing by using a camera and sensor based Electromyogram to measure the level of contraction of the hand when using the Virtual Manufacturing program. The researcher's focus on this paper is about to know the character of biceps brachii muscle contraction in some conditions, that will be utilized in the process of Virtual Manufacturing.

     

     

  • References

    1. [1] Stratos, A., et al., A Virtual Reality Application to Attract Young Talents to Manufacturing. Procedia CIRP, 2016. 57: p. 134-139.

      [2] Al-Ahmari, A.M., et al., Development of a virtual manufacturing assembly simulation system. Advances in Mechanical Engineering, 2016. 8(3): p. 1687814016639824.

      [3] Boothroyd, G., Dewhurst, P., Knight, Product Design for Manufacture and Assembly, Second Edition, Revised and Expanded. 2002, Boca Raton: CRC Press.

      [4] Bell, L.L. CAD and Virtual Prototyping Software: Continuous Development in a Challenging Economy. 2010 [cited 2018 27/06/2018].

      [5] Konrad, P., The abc of emg. A practical introduction to kinesiological electromyography, 2005. 1: p. 30-35.

      [6] Basmijan, J., Muscle fatigue and time-dependant parameters of the surface EMG signal. Muscles Alive: Their function revealed by electromyography, 1985.

      [7] Hasan, N. A. K. A. K., Kamal, H. M., & Hussein, Z. A. (2016). Relation between body mass index percentile and muscle strength and endurance. Egyptian Journal of Medical Human Genetics, 17(4), 367-372.

      [8] G. Kiswanto and M. F. Juzar, Muscle Contraction Sensor Filtering and Calibration for Virtual Manufacturing Development, Depok, West Java: Universitas Indonesia, 2018.

      [9] G. Kiswanto and F. Zhultriza, Development of Appliccation using Integration of Hand Tracking based on Image Processing and EMG Sensor for Virtual Manufacturing, Depok, West Java: Universitas Indonesia, 2018.

  • Downloads

  • How to Cite

    Kiswanto, G., Mochammad Suryantoro, R., Ayu Setiani, A., Rakhmat Ramadhan, D., Zhultriza, F., & Fathin Juzar, M. (2018). Characterization of Biceps Brachii Muscle Contraction Using Electromyogram Sensor for Virtual Manufacturing Process. International Journal of Engineering & Technology, 7(4.16), 10-12. https://doi.org/10.14419/ijet.v7i4.16.21770