• Dr. R Amutha
• Abhishek N Nairy
• D N Meghana
• Namratha P
• Sanchali A

Recognizing hand gestures has become increasingly important in various applications, requiring improvements in accuracy and speed. While existing methods often rely on external devices like gloves or LEDs, which can disrupt natural interaction, there's a growing interest in purely hand-based approaches for more seamless human-computer interaction. This paper proposes a camera-based interactive wall display system that detects bare hand gestures with high processing speed. It consists of three modules: one utilizing CNN Algorithm and Otsu thresholding to distinguish correct gestures for actions like controlling mouse speed, another managing functions beyond PowerPoint or Word, such as folder navigation, and a third employing the convex hull method to identify the number of fingers open in a gesture and respond accordingly. This system aims to enhance the efficiency and reliability of gesture recognition compared to prior methods.

Hand gesture recognition, Human-computer interaction, Convolutional Neural Networks (CNNs), Camera-based interaction, Real-time gesture recognition

"CAMERA BASED INTERACTIVE COMPUTER FUNCTIONS USING HAND GESTURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.516-526, May-2024, Available :http://www.jetir.org/papers/JETIRGG06082.pdf

"CAMERA BASED INTERACTIVE COMPUTER FUNCTIONS USING HAND GESTURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp516-526, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06082.pdf