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Computer Technologies for Gestures Communication Systems Construction

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 998))

Abstract

The approach to the development of informational computer technologies for the interactive learning of sign language which use 3D model human expart of sign language is proposed. Methods for modeling fingerspelling information and it’s recognizing uses convolution neural networks are created. The implementation of these methods under the operating system Microsoft Windows and on the cross-platform technology have been developed. Methods and software for gestures modeling base on 3D human model and using Motion Capture technology are created.

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References

  1. Brentari, D. (ed.): Sing Languages. Cambridge University Press, Cambridge (2010)

    Google Scholar 

  2. Stokoe Jr., W.C.: Sing language structure: an outline of the visual communication systems of the American deaf. University of Buffalo (1960)

    Google Scholar 

  3. Smith, R., Morrissey, S., Somers, H.: HCI for the deaf community: developing human-like avatars for sign language synthesis. In: Proceedings of the 4th Irish Human Computer Interaction Conference, Dublin, pp. 129–136 (2010)

    Google Scholar 

  4. Kryvonos, Iu.G., Krak, Yu.V., Barchukova, Yu.V., Trocenko, B.A.: Human hand motion parametrization for dactylemes modeling. J. Autom. Inf. Sci. 43(12), 1–11 (2011)

    Google Scholar 

  5. Krak, Iu., Kryvonos, Iu., Wojcik, W.: Interactive sytems for sign language learning. In: 6th International Conference on Application of Information and Communication Technologies (AICT), pp. 114–116 (2012)

    Google Scholar 

  6. Kondratiuk, S., Krak, Iu.: Dactyl alphabet modeling and recognition using cross platform software. In: IEEE Second International Conference on Data Stream Minning & Processing (DSMP), pp. 420–423 (2018)

    Google Scholar 

  7. Unity3D framework. [Electronic resource] www.unity3d.com. Accessed 20 Apr 2018

  8. Tensorflow framework documentation. [Electronic resource] www.tensorflow.org/api/. Accessed 20 Apr 2018

  9. Ong, E.-J., et al.: Sign language recognition using sequential pattern trees. In: IEEE Conference on IEEE Computer Vision and Pattern Recognition (CVPR), pp. 2200–2207 (2012)

    Google Scholar 

  10. Kryvonos, I.G., Krak, I.V., Barmak, O.V., Shkilniuk, D.V.: Construction and identification of elements of sign communication. Cybern. Syst. Anal. 49(2), 163–172 (2013)

    Article  Google Scholar 

  11. Krak, Yu.V., Golik, A.A., Kasianiuk, V.S.: Recognition of dactylemes of Ukrainian sign language based on the geometric characteristics of hand contours defects. J. Autom. Inf. Sci. 48(12), 1–11 (2011)

    Article  Google Scholar 

  12. Menache, A.: Understanding Motion Capture for Computer Animation and Video Games. Morgan Kaufmann, Burlington (2000)

    Google Scholar 

  13. Avidan, S.: Support vector tracking. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 1, Kauai, Hawaii, pp. 84–191 (2001)

    Google Scholar 

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Correspondence to Iu. Krak .

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Krak, I. (2019). Computer Technologies for Gestures Communication Systems Construction. In: Shokin, Y., Shaimardanov, Z. (eds) Computational and Information Technologies in Science, Engineering and Education. CITech 2018. Communications in Computer and Information Science, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-12203-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-12203-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12202-7

  • Online ISBN: 978-3-030-12203-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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