Facial emotion recognition for human-machine interaction using hybrid DWT-SFET feature extraction technique

@article{Kamal2016FacialER,
  title={Facial emotion recognition for human-machine interaction using hybrid DWT-SFET feature extraction technique},
  author={Shoaib Kamal and Farrukh Sayeed and Mohammed Rafeeq and Mohammed Zakir},
  journal={2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)},
  year={2016},
  pages={1-5}
}
Facial emotion recognition is the most significant parameter for an efficacious Human Machine Interaction (HMI). It plays a crucial role in interpreting and communicating with the people who have speaking impairments as well as a medium to understand and communicate with infants who cannot emote their feelings verbally. In this paper, we propose a hybrid feature extraction technique consisting of Discrete Wavelet Transform (DWT) accompanied by Shape Feature Extraction Technique (SFET).The… CONTINUE READING
3 Citations
17 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Automated facial expression recognition using gradient-based ternary texture patterns

  • F. Ahmed, E. Hossain
  • Chinese Journal of Engineering, vol. 2013, 2013.
  • 2013
2 Excerpts

Face recognition using enhanced versions of principal component analysis for feature extraction

  • R. R. Khajuria
  • Ph.D. dissertation, Sudan University of Science…
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…