Hand Gesture Control

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Hand Gesture Control

Aditya Machhi, Manav Sanghani, Keval Prawasi, Asst. Prof. Ms. Manisha Vasava

Research Scholar, Institute of Information Technology, Krishna School Of Emerging Technology & Applied Research, KPGU University, Varnama, Vadodara, Gujarat, India.

Assistant Professor, Department of Information Technology, Krishna School Of Emerging Technology & Applied Research, KPGU University. Varnama, Vadodara, Gujarat, India.

Abstract- Develop a system that enables hand gesture control for various applications such as computer interaction, gaming, and robotics. The system should accurately recognize and interpret hand gestures in real time, allowing users to perform actions without physical touch or traditional input devices like keyboards or controllers.

Develop a robust hand gesture recognition system. Implement real-time tracking of hand movements. Optimize the system for accuracy and responsiveness. Explore machine learning techniques for enhancing gesture recognition.

Ensure compatibility with different hardware setups and environments.

Conduct user testing to evaluate usability and efficiency. Continuously improve the system based on user feedback and technological advancement.

Hand gesture control stands out as a promising solution, enabling users to interact with devices effortlessly through hand movements.

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