ARCHIVES
Research Article
An Air Gesture Based Keyboard for Visually Impaired People Using Machine Learning and Embedded System Approach
Hemashree M1
Kavitha B C2
Leena Ranganath3
Suhas4
1234 Dept. of ECE, BGS Institute of Technology, Adichunchanagiri University, B G Nagara, Karnataka, India.
Published Online: May-June 2024
Pages: 223-229
Cite this article
↗ Hemashree M1, Kavitha B C2, Leena Ranganath3, Suhas4References
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
Related Articles
2024
Embedding Artificial Intelligence for Personal Voice Assistant Using NLP
2024
Analysis of Pedestrian Steel Bridge subjected the Seismic Load and Wind Load using Damper at different Span
2024
Review Paper on Comparison of Asymmetric and Symmetric RCC Building with Soil Structure Interaction by Dynamic Loading
2024
BLYNK RFID and Retinal Lock Access System
2024
ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs
2024
