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- Vol. 5 Issue 3
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An Air Gesture Based Keyboard for Visually Impaired People Using Machine Learning and Embedded System Approach
Authors
1234 Dept. of ECE, BGS Institute of Technology, Adichunchanagiri University, B G Nagara, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 3 (2024)
- Published Online
- May-June 2024
- Pages
- 223-229
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. Clark, J. (2018). Keyboard Layouts and Their Influence on Typing Efficiency. *Journal of Computer Science, 12*(6), 244-256. DOI:
10.3844/jcssp.2018.244.256
2. Smith, A., & Johnson, B. (2022). Enhancing Text Input withRemote-Based Gesture Keyboards. *Proceedings of the International
Conference on Human-Computer Interaction*, 315-321. DOI: 10.1007/978-3-319-95276-3_32
3. Rodriguez, M., et al. (2021). Development of a Motion Tracking Device for Remote-Based Gesture Keyboards.*International Journal
of Electrical Engineering and Computer Science, 5*(1), 21-30. DOI:10.15627/jee.2021.0002
4. Wang, Y., & Chen, Z. (2019). Remote-Based Gesture Keyboard: A Novel Approach for Text Input. *Journal of Human-Computer
Interaction, 35*(2), 127-140. DOI:10.1080/07370024.2018.1566789
5. Shakunthaladevi, M., & Revathi, R. B. (n.d.). Real-time hand gesture recognition using AVR Microcontroller. *SKP Engineering
College*, Tiruvannamalai, India.
6. Jaramillo, G., & Benalcázar, M. E. (2017). Real-time hand gesture recognition with EMG using machine learning.*Proceedings of
the IEEE ETCM*, 1-5. DOI:10.1109/ETCM.2017.8247487
10.3844/jcssp.2018.244.256
2. Smith, A., & Johnson, B. (2022). Enhancing Text Input withRemote-Based Gesture Keyboards. *Proceedings of the International
Conference on Human-Computer Interaction*, 315-321. DOI: 10.1007/978-3-319-95276-3_32
3. Rodriguez, M., et al. (2021). Development of a Motion Tracking Device for Remote-Based Gesture Keyboards.*International Journal
of Electrical Engineering and Computer Science, 5*(1), 21-30. DOI:10.15627/jee.2021.0002
4. Wang, Y., & Chen, Z. (2019). Remote-Based Gesture Keyboard: A Novel Approach for Text Input. *Journal of Human-Computer
Interaction, 35*(2), 127-140. DOI:10.1080/07370024.2018.1566789
5. Shakunthaladevi, M., & Revathi, R. B. (n.d.). Real-time hand gesture recognition using AVR Microcontroller. *SKP Engineering
College*, Tiruvannamalai, India.
6. Jaramillo, G., & Benalcázar, M. E. (2017). Real-time hand gesture recognition with EMG using machine learning.*Proceedings of
the IEEE ETCM*, 1-5. DOI:10.1109/ETCM.2017.8247487
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