• J. Jesy Janet Kumari
• Hirpara Divyang
• Jaykumar Savani
• Ajay Mourya
• Heena Kouser

The Project is on Real time Human Computer Interaction System based on hand gesture. The System created with 3 part : Gesture detection, Gesture recognition and Human computer interaction and it realizes the robust control of keyboard events with higher accuracy of gesture recognition. To recognize gestures and make it attainable to identify relatively complex gestures using camera. The developed system is highly extendable and can be used in human-robotics or other human-machine interaction scenarios with more complex command formats rather than just mouse and keyboard events. In the proposed system, the model is trained with a custom dataset and perform specific events specifically keyboard events to control the system. Once the model is trained, it can be easily integrated into an application with a graphical interface. The system can be implemented in various applications depending on the use case, for example a physically impaired person would be able to control device just with simple gestures, there can be a video playercontrolledbysimplehandgesturesorapersoncouldgiveapresentationwithoutthehassleofgoingnearasystem by just using simple handgestures.

Python, OpenCV, Hand Gesture, Haar Cascade, XML, Keyboard, PyautoGUI, Convex Hull Algorithm, Human Computer Interaction

"A REAL TIME HAND GESTURERECOGNITION AND HUMANCOMPUTER INTERACTION SYSTEM USING OPENCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.293-298, May-2019, Available :http://www.jetir.org/papers/JETIRCD06052.pdf

"A REAL TIME HAND GESTURERECOGNITION AND HUMANCOMPUTER INTERACTION SYSTEM USING OPENCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp293-298, May-2019, Available at : http://www.jetir.org/papers/JETIRCD06052.pdf