Review

Author:

Yu Mingchao1,Li Gongfa2,Sun Ying2,Tao Bo2,Xu Shuang2,Zeng Fei2

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology Wuhan, China

2. Research Center of Biologic Manipulator and Intelligent, Measurement and Control, Wuhan University of Science and Technology Wuhan, China

Publisher

ACM Press

Reference52 articles.

1. Kaluri, R., and Reddy, C. P. 2016. A framework for sign gesture recognition using improved genetic algorithm and adaptive filter. Cogent Engineering. 3, (Oct. 2016).

2. Wang, X., and Bao, H. 2007. Gesture recognition based on adaptive genetic algorithm. Journal of Computer-Aided Design & Computer Graphics. (Aug. 2007).

3. Liu, J. H., Cheng, J. S., and Chen, J. P. 2002. Optimization of HMM Parameters Based on Chaos and Genetic Algorithm for Hand Gesture Recognition. System engineering and electronic technology. 13, (2002), 79--84.

4. Hu, C., Yu, Q., Li, Y., and Ma, S. 2000. Extraction of parametric human model for posture recognition using genetic algorithm. IEEE International Conference on Automatic Face and Gesture Recognition. (Aug. 2000), 518--523.

5. Appenrodt, J., Handrich, S., Al-Hamadi, A., and Michaelis, B. 2011. Multi stereo camera data fusion for fingertip detection in gesture recognition systems. Soft Computing and Pattern Recognition IEEE, (Jan. 2011), 35--40.

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