Published Paper Details:

Hand gesture recognition on video calls has emerged has shown promise as a to enhance user interaction and communication experiences in remote collaboration scenarios. The technique for real-time hand gesture recognition presented in this paper was created specifically for video conferencing applications. The suggested framework makes use of computer vision methods, including hand detection, tracking, and gesture recognition, to interpret hand movements made by participants during video calls.The system begins feeds from users' cameras and employs robust hand detection algorithms to identify hand regions within the frames. Subsequently, hand tracking algorithms are utilized to monitor the movement of detected hands across consecutive frames, enabling precise trajectory estimation. Models for machine learning, like convolutional neural networks (CNNs), are then employed to recognize specific hand gestures according to the tracked trajectories. To ensure seamless integration into video conferencing platforms, the system is optimized for real-time performance, minimizing latency and maximizing responsiveness. Furthermore, the proposed solution addresses challenges associated with varying lighting conditions, background clutter, and occlusions, thereby enhancing the obustness and dependability of gesture recognition .Experimental evaluations demonstrate the efficacy and efficiency of the proposed system in accurately interpreting a diverse range of hand gestures during live video calls. User studies further validate the usability and user satisfaction of the integrated gesture recognition feature, emphasizing its potential to revolutionize remote communication experiences.In conclusion, real-time hand gesture recognition contains enormous possibility for transformation. video communication, enabling intuitive and interactive interactions between participants in virtual environments. Prospective avenues for research encompass improving the system's adaptability to diverse hand gestures and exploring novel applications for gesture-based interaction in collaborative settings.