Muscle Contraction Sensor Filtering and Calibration for Virtual Manufacturing Development

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    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.

     

     


  • Keywords


    Computer-Aided Design; Muscle Contraction; Signal; Virtual Manufacturing.

  • References


      [1] Hu, S. Jack. "Evolving paradigms of manufacturing: from mass production to mass customization and personalization." Procedia CIRP 7, 2013, p.3-8.

      [2] Shukla, Chetan, Michelle Vazquez, and F. Frank Chen. "Virtual manufacturing: an overview." Computers & Industrial Engineering 31, 1996, p.79-82.

      [3] Motchenbacher, Curtis D., and Joseph Alvin Connelly. Low noise electronic system design. Wiley, 1993.

      [4] PG, Krishnamohan, and Mallikarjun S. Holi. "Electromyography analysis for person identification." International Journal of Biometrics and Bioinformatics (IJBB) 5.3, 2011, p.172.

      [5] Chowdhury, Rubana H., et al. "Surface electromyography signal processing and classification techniques." Sensors 13.9, 2013, pp. 12431-12466.

      [6] Webster, John G. Encyclopedia of medical devices and instrumentation. John Wiley & Sons, Inc., 1990.

      [7] Ifeachor, Emmanuel C., and Barrie W. Jervis. Digital signal processing: a practical approach. Pearson Education, 2002.

      [8] Smith, Steven. Digital signal processing: a practical guide for engineers and scientists. Elsevier, 2013.


 

View

Download

Article ID: 21771
 
DOI: 10.14419/ijet.v7i4.16.21771




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.