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Portable Real Time Needs Expression for People with Communication Disabilities

  • Conference paper
Intelligent Interactive Assistance and Mobile Multimedia Computing (IMC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 53))

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Abstract

This paper discusses a research on biometrics information recognition in real time for expressing needs of the people with communication disabilities. They have facial expression ability and incomprehensible speech that can be interpreted to communicate their needs. We utilized the real time detected face features in the pattern recognition process. Their facial expressions for a specific need may not be identical but have some similarities that can be identified through pattern recognition and trained using artificial intelligence. EmoCom has achieved a recognition rate of 85% in both cluttered indoor and outdoor environment.

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References

  1. AT&T Face Database (The ORL Face Database) http://www.cl.cam.ac.uk/Research/DTG/attarchive/pub/data/att_faces.zip (Accessed on December 31, 2008)

  2. Boumbarov, O., Sokolov, S., Gluhchev, G.: Combined face recognition using wavelet packets and radial basis function neural network. In: CompSysTech 2007: Proc of International conference on Computer systems and technologies. ACM, New York (2007)

    Google Scholar 

  3. Datcu, D., Rothkrantz, L.: Facial expression recognition in still pictures and videos using Active Appearance Model. In: A comparison approach. ACM, New York (2007)

    Google Scholar 

  4. Ekman, P.: Emotions Revealed. Henry Holt and Company LLC, First Owl Books, New York (2004)

    Google Scholar 

  5. Ekman, P.: Facial Expressions. In: Dalgleish, T., Powers, M. (eds.) Handbook of Cognition and Emotion. John Wiley & Sons Ltd., Chichester (1999)

    Google Scholar 

  6. Geetha, A., Ramalingam, V., Palanivel, S., Palaniappan, B.: Facial expression recognition – A real time approach. Expert Systems with Applications 36(1), 303–308 (2009)

    Article  Google Scholar 

  7. Heisele, B., Ho, P., Wu, J., Poggio, T.: Face recognition: component based versus global approaches. Computer Vision and Image Understanding 91(1/2), 6–21 (2003)

    Article  Google Scholar 

  8. Huang, X., Lin, Y.: A vision-based hybrid method for facial expression recognition. In: Proceedings of the 1st international conference on ambient media and systems (2008)

    Google Scholar 

  9. Japanese Female Facial Expression (JFFE) Database, http://www.kasrl.org/jaffe_download.html (Accessed on December 31, 2008)

  10. Lau, B.T.: Gabor Neural Network based Facial Expression Recognition for Assistive Speech Expression. In: Koeppen, M., Kasabov, N., Coghill, G. (eds.) Proceedings of 15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, Auckland, New Zealand. LNCS, vol. 5506–5507, Springer, Heidelberg (2008)

    Google Scholar 

  11. Lau, B.T., Low, T.K., Hii, K.S.: A Mobile Real Time Interactive Communication Assistant for Cerebral Palsy. International Journal of Computer and ICT Research 3(2), 1818–1839 (2009)

    Google Scholar 

  12. Raquel, A.R.: Real-time Face Verification. Thesis (M.S.) Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science (1995)

    Google Scholar 

  13. Tistarelli, M., Bicego, M., Grosso, E.: Dynamic face recognition: From human to machine vision. Image and Vision Computing 27(3), 222–232 (2009)

    Article  Google Scholar 

  14. Weyrauch, B., Huang, J.: Component-based Face Recognition with 3D Morphable Models. In: Proceedings of 4th Conference on Audio- and Video-Based Biometric Person Authentication, pp. 27–34 (2003)

    Google Scholar 

  15. Wong, J.J., Cho, S.Y.: A local expert organization model with application to face emotion recognition. Expert Systems with Applications 36(1), 804–819 (2009)

    Article  Google Scholar 

  16. Yang, P., Liu, Q., Metaxas, D.N.: Boosting encoded dynamic features for facial expression recognition. Pattern Recognition Letters 30(2), 132–139 (2009)

    Article  Google Scholar 

  17. Zana, Y., Roberto, M.C.: Face recognition based on polar frequency features. ACM Transactions on Applied Perception (TAP) 3(1) (2007)

    Google Scholar 

  18. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys (CSUR) 35(4) (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Swinburne University of Technology Sarawak Campus, Kuching, Sarawak, Malaysia

    Lau Bee Theng

Authors
  1. Lau Bee Theng
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Editor information

Editors and Affiliations

  1. Chair for Computer Architecture, Institute of Computer Science, University of Rostock, Albert-Einstein-Str. 21, 18059, Rostock, Germany

    Djamshid Tavangarian

  2. Department of Computer Science, Rostock University, Albert-Einstein-Straße 21, 18059, Rostock, Germany

    Thomas Kirste

  3. Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany

    Dirk Timmermann

  4. Department of Computer Science, Chair of Computer Architecture, University of Rostock, Albert-Einstein-Str. 21, 18059, Rostock, Germany

    Ulrike Lucke

  5. Chair of Computer Architecture, Department of Computer Science, University of Rostock, Albert-Einstein-Str. 21, D-18059, Rostock, Germany

    Daniel Versick

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© 2009 Springer-Verlag Berlin Heidelberg

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Theng, L.B. (2009). Portable Real Time Needs Expression for People with Communication Disabilities. In: Tavangarian, D., Kirste, T., Timmermann, D., Lucke, U., Versick, D. (eds) Intelligent Interactive Assistance and Mobile Multimedia Computing. IMC 2009. Communications in Computer and Information Science, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10263-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-10263-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10262-2

  • Online ISBN: 978-3-642-10263-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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