International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Implementation of The Space Writer using Motion Detection

Author : Divya Kumari Jha ¹ Mercy M ² Nayana M ³ Nischala R G ⁴ Dr Pooja Nayak S ⁵

Date of Publication :1st November 2022

Abstract: The software that recognizes writing in space without any physical touch with the device is known as the Space Writer. It's a method of generating digital artwork with the help of modern human-computer interface technology. The goal of this project is to propose a solution that tracks the user's hand gestures and draw the motion on the screen. Writing in space helps to develop automated processes and can improve the interface between man and machine in a variety of applications.

Reference :

1. Saoji, S. U., Dua, N., Choudhary, A. K., & Phogat, B. (2021). AIR CANVAS APPLICATION USING OPENCV AND NUMPY IN PYTHON.
2. Dash, A., Sahu, A., Shringi, R., Gamboa, J., Afzal, M. Z., Malik, M. I., ... & Ahmed, S. (2017, November). Airscript- creating documents in air. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Vol. 1, pp. 908- 913). IEEE.
3. Baig, F., Fahad Khan, M., & Beg, S. (2013). Text writing in the air. Journal of Information Display, 14(4), 137-148.
4. Saoji, Saurabh & Vidyapeeth, Bharati & Choudhary, Akash & Phogat, Bharat. (2021). Basic Paint Window Application via Webcam Using OpenCV and Numpy in Python. Journal of Interdisciplinary Cycle Research. XIII. 1680-1686.
5. Khan, Najeed & Khan, Shariq & Abdullah, Maria & Kanji, Jamaluddin & Iltifat, Urooj. (2017). Use Hand Gesture to Write in Air Recognize with Computer Vision. 17. 51.
6. Pavlovic, Vladimir & Sharma, Rajeev & Huang, T. (1997). Visual Interpretation of Hand Gestures for Human-Computer Interaction A Review. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 19. 677 - 695. 10.1109/34.598226.
7. Chen, M., AlRegib, G., & Juang, B. H. (2015). Air-writing recognition— Part I: Modeling and recognition of characters, words, and connecting motions. IEEE Transactions on Human-Machine Systems, 46(3), 403-413.
8. Chen, M., AlRegib, G., & Juang, B. H. (2015). Air-writing recognition— Part II: Detection and recognition of writing activity in continuous stream of motion data. IEEE Transactions on HumanMachine Systems, 46(3), 436- 444
9. Khan, F., Leem, S. K., & Cho, S. H. (2020). In-air continuous writing using uwb impulse radar sensors. IEEE Access, 8, 99302-99311.