• Limla Shanoo L L
• Kirubavilashini S
• Asha M
• Priya K
• Malini P

Using a physical device for human-computer interaction, such as a mouse or keyboard, interferes with the natural interface by creating a strong barrier between the user and the computer. In this project, we created a powerful marker-less hand gesture detection system to efficiently monitor static hand motions. With the fast growth of technology, home automation systems are gaining popularity. Amazon Alexa and Google Home have grabbed the market by storm. A Smart Home System provides access to all controlled household equipment and can assist in improving the electrical supply in a household, lowering consumption by managing utilization. Existing developments in this sector depend mostly on sound. This research introduces a system that uses Virtual Reality gestures to control household equipment. The suggested system utilizes an image analysis technique to operate VR-based smart home devices. Additionally, the system offered a gesture-based multipurpose, low-cost, and adaptable system. The output prototype using image processing technology from VR technology is more appropriate for smart and household appliances.

Human-Computer Interaction, Virtual Reality Gestures, Image Processing Technology.

"Real-Time Hand Gesture Detection and Recognition System for Human-Computer Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q109-q113, April-2024, Available :http://www.jetir.org/papers/JETIR2404H15.pdf

"Real-Time Hand Gesture Detection and Recognition System for Human-Computer Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq109-q113, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H15.pdf