1. 1. Deepak K. Ray, Mayank Soni, Prabhav Johri, Abhishek Gupta, “Hand Gesture Recognition using Python”, International Journal on Future Revolution in Computer Science & Communication Engineering ISSN: 2454-4248 Volume: 4 Issue: 6.
   2. S.G.Rayo, “Hand Gestures and Hand Movement Recognition for Multimedia Player Control”, February 2008, unpublished thesis.
   3. T.-N. Nguyen, D.-H. Vo, H.-H. Huynh, and J. Meunier, “Geometry-based static hand gesture recognition using support vector machine,” In Proc. The 13th International Conference on Control Automation Robotics & Vision, Singapore, December 10–12, 2014.
   4. Hung-Yuan Chung, Yao-Liang Chung, Wei-Feng Tsai, “An Efficient Hand Gesture Recognition System Based on Deep CNN,” 2019 IEEE International Conference on Industrial Technology (ICIT).
   5. T. Koizumi, M. Mori, S. Taniguchi, and M. Maruya, “Recurrent neural networks for phoneme recognition,” In Proc. The Fourth International Conference on Spoken Language Processing, PA, USA, October 3–6, 1996.
   6.  Chigozie Enyinna Nwankpa, Winifred Ijomah, Anthony Gachagan, and Stephen Marshall, “Activation Functions: Comparison of Trends in Practice and Research for Deep Learning”, arXiv:1811.03378v1 [cs.LG] 8 Nov 2018.
   7. Guifang Lin, Wei Shen, “Research on convolutional neural network based on improved Relu”, 8th International Congress of Information and Communication Technology.
   8. https://www.edureka.co/blog/convolutional-neuralnetwork/ (Date of access: 23rd March 2021)
   9. Yanan Xu1, Dong-Won Park and GouChol Pok “Hand Gesture Recognition Based on Convex Defect Detection”, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 18 (2017) pp. 7075-7079.