Invariant Hand Gesture Recognition System

  • Authors

    • G. N. Balaji
    • S. V. Suryanarayana
    • C. Veeramani
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.21196
  • Hand gesture, HSV, Classification, SVM.

  • Abstract

    Hand gesture recognition plays a vital role in numerous applications, which can run from mobile phones to 3D analysis of anatomy and from gaming to medicinal science. In a large portion of research applications and current business hand gestures recognition, has been implemented by utilizing either vision based or sensor-based gloves strategies where hues, paperclips of synthetic substances are used on to capture the gestures. Another essential issue associated with vision-based procedures is illuminated conditions. The threshold used for the segmentation is changed based on the light variations. A system is proposed in this paper, which extracts the gesture part from the hand image by preprocessing, followed by extraction of orientation histogram based feature is done. Further, in order to recognize the gestures, the extracted HOG feature vectors are provide for support vector machine (SVM). The proposed system is tested with 84 images and it outperforms with an accuracy of 94.04%.

     

     

  • References

    1. [1] C. Keskin, O. Aran and L. Akarun, "Real time gestural interface for generic applications", in Proceedings of European Signal Processing Conference, Antalya, Turkey, 2005.

      [2] Aran, O., Ari, I., Akarun, L., Sankur, B., Benoit, A., Caplier, A., ... & Carrillo, A. H. (2009). Signtutor: An interactive system for sign language tutoring. IEEE MultiMedia, (1), 81-93.

      [3] Kurakin, Alexey, Zhengyou Zhang, and Zicheng Liu. "A real time system for dynamic hand gesture recognition with a depth sensor." Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European. IEEE, 2012.

      [4] Suarez, Jesus, and Robin R. Murphy. "Hand gesture recognition with depth images: A review." Ro-man, 2012 IEEE. IEEE, 2012.

      [5] Priyal, S. Padam, and Prabin Kumar Bora. "A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments." Pattern Recognition 46.8 (2013): 2202-2219.

      [6] H.-S. Yoon, J. Soh, Y. J. Bae and H. S. Yang, ―Hand Gesture recognition using combined features of location, angle and velocity‖, Pattern Recognition, vol. 34, no. 37, pp. 1491-1501, 2001.

      [7] R. Locken and A. W. Fitzgibbon. "Real gesture recognition using deterministic boosting", in Proceedings of the British Machine Vision Conference, 2002.

      [8] S. Mitra and T. Acharya, ―Gesture recognition: A survey, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Review, vol. 37, no 3, pp. 2127-2130, May 2007.

      [9] K. L. Kroeker, "Alternate interface technologies emerge", Communications of the ACM, vol. 53, no. 2, pp. 13-15 February 2010.

      [10] L. Tarrataca, A. C. Santos and J. M. P. Cardoso, ―The current feasibility of gesture recognition for a smartphone using J2ME‖, in Proceedings of the ACM Symposium on Applied Computing, pp. 1642-1649, 2009.

      [11] Balaji, G. N., T. S. Subashini, and N. Chidambaram. "Detection of heart muscle damage from automated analysis of echocardiogram video." IETE Journal of Research 61.3 (2015): 236-243.

      [12] Balaji, G. N., T. S. Subashini, and N. Chidambaram. "Detection and diagnosis of dilated cardiomyopathy and hypertrophic cardiomyopathy using image processing techniques." Engineering Science and Technology, an International Journal 19.4 (2016): 1871-1880.

      [13] Vaishnavi, D., and T. S. Subashini. "Recognizing image splicing forgeries using histogram features." Big Data and Smart City (ICBDSC), 2016 3rd MEC International Conference on. IEEE, 2016.

  • Downloads

  • How to Cite

    N. Balaji, G., V. Suryanarayana, S., & Veeramani, C. (2018). Invariant Hand Gesture Recognition System. International Journal of Engineering & Technology, 7(4.6), 299-301. https://doi.org/10.14419/ijet.v7i4.6.21196

    Received date: 2018-10-07

    Accepted date: 2018-10-07

    Published date: 2018-09-25