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Circular Hand Gesture Recognition Algorithm Using Concentric Circles

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Abstract

In this paper, we proposed a hand gesture recognition method using concentric with the coordinate information. Hand, the image of the area who entered through the camera through the binarization task and the change in the color space to extract the skin area was to determine forming a circle with the center of the center of the hand region to obtain the change of the input data. The circle and measure the similarity of the two concentric circles of different sizes. Concentric with coordinate information through image processing than the existing recognizer and the recognition through learning process is possible using a hand gesture recognition gesture.

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References

  1. Kim, D.-H., Cho, S.-H., Cheon, Y.-J., & Kim, D.-J. (2007). A hand gesture recognition method for an intelligent smart home TV remote control system. Korean Institute of Information Scientists and Engineers, 34(1C), 516–520.

    Google Scholar 

  2. Kim, D.-H., Cho, S.-H., Cheon, Y.-J., & Kim, D.-J. (2006). Vision-based 3D hand gesture recognition for human–robot interaction. Korean Institute of Information Scientists and Engineers, 33(2B), 421–425.

    Google Scholar 

  3. Kwak, S.-D., Chang, M.-S., & Kang, S.-M. (2010). A method of gesture recognition using motion sensor and image analysis. In Proceedings of the KIIS Fall Conference, 20(2).

  4. Lee, P., Lee, H.-S., & Kim, M.-H. (2012). Recognition method of Chinese finger number 2, 6, 8 using angle information. Journal of Korea Game Society, 12(6), 121–130.

    Article  Google Scholar 

  5. Vananen, K., & Boehm, K. (1993). Gesture driven interaction as a human factor in virtual environments. An approach with neural networks. Virtual Reality Systems, Academic.

  6. Chai, D., & Ngan, K. N. (1998). Locating facial region og a head-and-shoulders color image. In Proceedings of the third IEEE international conference on automatic face and gesture recognition (pp 124–129).

  7. Liang, R.-H., & Ouhyoung, M. (1998). A real-time continuous gesture recognition system for sign language. In Proceedings of the third IEEE international conference on automatic face and gesture recognition 1998.

  8. Mitra, S., & Acharya, T. (2007). Gesture recognition: A survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 37(3), 311–324.

    Article  Google Scholar 

  9. Gavrila, D. M. (1999). The visual analysis of human movement: A survey. Computer Vision and Image Understanding, 73(1), 82–98.

    Article  MATH  Google Scholar 

  10. Vincent, L. (1993). Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms. IEEE Transactions on Image Processing, 2(2), 176–201.

    Article  Google Scholar 

  11. Chai, D., & Ngan, K. N. (1999). Face segmentation using skin-color map in videophone applications. IEEE Transactions on Circuits and Systems for Video Technology, 9(4), 551–564.

    Article  Google Scholar 

Download references

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Correspondence to Mi-Hye Kim.

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Sodgerel, B., Lee, SM., Kim, MH. et al. Circular Hand Gesture Recognition Algorithm Using Concentric Circles. Wireless Pers Commun 79, 2627–2637 (2014). https://doi.org/10.1007/s11277-014-1793-0

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  • DOI: https://doi.org/10.1007/s11277-014-1793-0

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