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- Vol. 3 Issue 4
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Review on Hand Gesture Recognition using Artificial Intelligence based application
Authors
12Department of Computer Science & Engineering, BRCM CET, Bahal, Haryana, India
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 4 (2022)
- Published Online
- July-August 2022
- Pages
- 119-122
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. Ahmad Yahya, Dawod and Junaidi Abdullah 2010.’ Adaptive Skin Color Model for Hand Segmentation’. ICCAIE Multimedia University,
Malaysia. 486-489.
2. Amer, M & Maul, T 2019, „A review of modularization techniques in artificial neural networks‟, Artificial Intelligence Review, vol. 52,
pp. 527-561.
3. A. Shamaie and A. Sutherland. 2003. ‘Accurate Recognition of Large Number of Hand Gestures’.2nd Iranian Conference on Machine
Vision and Image Processing, K.N. Toosi University of Technology,Tehran, Iran.
4. Ananya, C, Anjan Kumar, T &Kandarpa Kumar, S 2015, „A Review on vision-based hand gesture recognition and applications‟, IGI
Global, vol. 11, pp. 261-286.
5. Dogan, R.O and Kose, C. 2014. ‘Computer monitoring and control with hand movements’. Signal Processing and Communications
Applications Conference (SIU). 22: 2110 – 2113.
6. Arpita Ray Sarkar, Sanyal, G & Majumder, S 2013, „Hand gesture recognition systems: A survey‟, International Journal of Computer
Applications, vol. 71, no. 15, pp. 26-37.
Malaysia. 486-489.
2. Amer, M & Maul, T 2019, „A review of modularization techniques in artificial neural networks‟, Artificial Intelligence Review, vol. 52,
pp. 527-561.
3. A. Shamaie and A. Sutherland. 2003. ‘Accurate Recognition of Large Number of Hand Gestures’.2nd Iranian Conference on Machine
Vision and Image Processing, K.N. Toosi University of Technology,Tehran, Iran.
4. Ananya, C, Anjan Kumar, T &Kandarpa Kumar, S 2015, „A Review on vision-based hand gesture recognition and applications‟, IGI
Global, vol. 11, pp. 261-286.
5. Dogan, R.O and Kose, C. 2014. ‘Computer monitoring and control with hand movements’. Signal Processing and Communications
Applications Conference (SIU). 22: 2110 – 2113.
6. Arpita Ray Sarkar, Sanyal, G & Majumder, S 2013, „Hand gesture recognition systems: A survey‟, International Journal of Computer
Applications, vol. 71, no. 15, pp. 26-37.
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