Muscle contraction sensor filtering and calibration for virtual manufacturing development

Gandjar Kiswanto, Muhammad Fathin Juzar, Adjeng Ayu Setiani, Dody Rakhmat Ramadhan, Ferdiansyah Zhultriza, Rachmad Muhammad Suryantoro

Research output: Contribution to journalArticlepeer-review


In terms of its software development, virtual manufacturing continues to be developed and updated following the manufacturing technology development. To develop the input aspect of virtual manufacturing and improve virtual interactivity, a muscle sensor is used to convert a user muscle contraction value into software inputs. This study aims to filter and calibrate the digital signal from a muscle sensor input device designed for virtual manufacturing environment interaction. Common type of digital filters are designed, tested, and compared using MATLAB to find the optimum filter types and parameters. Furthermore, the signal is calibrated to each individual user. The filtered and calibrated input allows the user to interact with objects virtually in a virtual manufacturing environment.

Original languageEnglish
Pages (from-to)13-17
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Issue number4.16 Special Issue 16
Publication statusPublished - 1 Jan 2018


  • Computer-aided design
  • Muscle contraction
  • Signal
  • Virtual manufacturing


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