Comparison of Different Time-domain Feature Extraction Methods on Facial Gestures ’ EMGs

@inproceedings{Hamedi2012ComparisonOD,
  title={Comparison of Different Time-domain Feature Extraction Methods on Facial Gestures ’ EMGs},
  author={Mahyar Hamedi and S. N. Salleh and Alias Mohd Noor and Tan Tian Swee and I. K. Afizam},
  year={2012}
}
Electromyography is a bio-signal which is applied in various fields of study such as motor control, neuromuscular physiology, movement disorders, postural control, human machine/robot interaction and so on. Processing of these bio-signals is the essential fact during each application and there still can be seen many challenges among researchers in this area. This paper is focused on the comparison between the classification performances by using different well known feature extraction methods… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 13 references

SEMG based facial expression recog- nition in bipolar configuration,

  • M. Hamedi, H. S. Sheikh, T. S. Tan, A. Kamarul
  • J. Comp. Sci.,
  • 2011
3 Excerpts

Facial EMG as a tool for inferring affective states,

  • A. Van Boxtel
  • Proceedings of Measuring Behavior,
  • 2010
1 Excerpt

inenbreijer, “Affective man-machine interface: Unveiling human emotions through biosignals,

  • E. L. Van den Broek, V. Lis’y, J. H. Janssen, J.H.D.M. Westerink, M. H. Schut, K. Tu
  • Biomedical Engineering Systems and Technologies…
  • 2010
1 Excerpt

Similar Papers

Loading similar papers…