Vision Based Mouse Control System using different Colour Coding
DOI:
https://doi.org//10.32628/CSEIT1952308Keywords:
Human Computer Interaction, Colour Detection, Web cameraAbstract
In this project, Human computer Interaction approach (HCI) is done, where we are trying to control the movement of mouse cursor and its click events using hand gestures with different colors. Hand gestures were acquired using a camera based on color detection technique. This method is mainly focused on the use of Web Camera to develop the visual based interaction between a computer and human in a cost-efficient manner. These day’s intelligent machine are being developed which can be used along with the computer and helps in friendly Human Computer Interaction (HCI). In the previous year’s many technologies are used for developing the virtual mouse. In this project, we have tried to provide an upgraded technology for the virtual mouse. To work with a computer mouse and Keyboard are the very essential input devices. To solve this problem virtual keyboard and mouse is developed.
References
- Kamran Niyazi, Vikram Kumar, Swapnil Mahe, Swapnil Vyawahare, “Mouse Simulation Using Two Coloured Tapes”, Department of Computer Science,
- Chu-Feng Lien, “Portable Vision-Based HCI – A Realtime Hand Mouse System on Handheld Devices”, National Taiwan University, Computer Science and Information Engineering Department.
- Hojoon Park, “A Method for Controlling the Mouse Movement using a Real Time Camera”, Brown University, Providence, RI, USA, Department of computer science, 2008
- A. Erdem, E. Yardimci, Y. Atalay, V. Cetin, A. E.“Computer vision based mouse”,Acoustics, Speech, and Signal Processing, Proceedings. (ICASS). IEEE International Conference, 2002.
- H. Lee, S. Seo, S. Ryoo, and K. Yoon, “Directional texture transfer,” in Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering (NPAR '10). ACM, New York, NY, USA, 43- 48.
- T. Mertens, J. Kautz, J. Chen, P. Bekaert, and F. Durand, "Texture Transfer Using Geometry Correlation," in Rendering Techniques 273. 2006.
- L.-Y. Wei and M. Levoy, “Fast Texture Synthesis Using TreeStructured Vector Quantization,” Proc. Siggraph, ACM Press,2000
- Dynamic Gesture Recognition, C. Joslin ; A. El-Sawah ; Qing Chen ; N. Georganas; Published in: 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings
- Computerized densitometry and color coding of [14C] deoxyglucose autoradiographs; Mr. Charles Goochee BS Wayne Rasband MS Louis Sokoloff MD; First published: April 1980 https://doi.org/10.1002/ana.410070414 Cited by: 273 ePDFPDF
- Head gesture recognition for hands‐free control of an intelligent wheelchair; Head gesture recognition for hands‐free control of an intelligent wheelchair
- Gesture-controlled user interfaces, what have we done and what’s next?; Moniruzzaman Bhuiyan and Rich Picking; Centre for Applied Internet Research (CAIR), Glyndŵr University, Wrexham, UK {m.bhuiyan, pickingr}@glyndwr.ac.uk
- An intelligent gesture interface for controlling TV sets and set-top boxes; Dan Ionescu ; Bogdan Ionescu ; Cristian Gadea ; Shahidul Islam
- Research on Key Issues of Vision-Based Gesture Interfaces; WU Hui-Yue1),2) ZHANG Feng-Jun1) LIU Yu-Jin1) DAI Guo-Zhong1)
- Obtaining hand gesture parameters using image processing; Alisha Pradhan ; B.B.V.L. Deepak
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.