Affiliation:
1. Sri Jagadguru Chandrashekaranatha Swamiji Institute of Technology, Chikkaballapur, Karnataka, India
Abstract
Human-Computer Interaction (HCI) grew enormously over the years. Hand gesture recognition technology brought a brand-new era to the artificial intelligence branch of human-computer interaction. Hand Gesture-based communication is one of the most effortless and natural methods. Identifying and interpreting hand gestures from a continuous sequential stream of input data is called gesture recognition. Amateur or aged people find it hard to identify and press the exact alphabet that they need. Overcoming this difficulty stands as the ultimate goal for our proposed system. Typing has taken many forms, first using a keyboard, gradually changing to touch screens, and now too much easier finger motion tracking systems. The gesture is made by the user is detected by the machine via the image processing techniques and the operation unique to the machine is carried out, thereby minimizing the requirement of any hardware input device. This paper proposes a virtually controlled system that uses hand gestures and voice to perform operations. The system will allow the user to manage cursor, keyboard, and writing functions using hand gestures, and also provides the user with an additional feature to convert the user’s voice to text. The proposed system utilizes a webcam as an input device. This application will add a brand-new era of HCI implementation for educational purposes.
Reference36 articles.
1. F. Soroni, S. a. Sajid, M. N. H. Bhuiyan, J. Iqbal and M. M. Khan, "Hand Gesture Based Virtual Blackboard Using Webcam," 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2021, pp. 0134-0140, doi: 10.1109/IEMCON53756.2021.9623181.
2. R. Lyu et al., "A flexible finger-mounted airbrush model for immersive freehand painting," 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), 2017, pp. 395-400, doi: 10.1109/ICIS.2017.7960025.
3. Prof. S.U. Saoji, Nishtha Dua, Akash Kumar Choudhary, Bharat Phogat “Air Canvas application using OpenCV and NumPy in python”International Research Journal of Engineering and Technology, Volume: 08, Issue 08 Aug 2021
4. K. V. V. Reddy, T. Dhyanchand, G. V. Krishna and S. Maheshwaram, "Virtual Mouse Control Using Colored Finger Tips and Hand Gesture Recognition ", 2020, doi:10.1109/HYDCON48903.2020.9242677.
5. P. Ramasamy, G. Prabhu and R. Srinivasan, "An economical air writing system converting finger movements to text using web camera," 2016 International Conference on Recent Trends in Information Technology (ICRTIT), 2016, pp. 1-6, doi: 10.1109/ICRTIT.2016.7569563.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. GestureEcho: A Silent Symphony of Art with Hand Tracking and Voice-Guided Drawing;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24