Recent Trends and Advancements in Hand Gesture Recognition from Real Time Video

This paper reviews the evolution and trends of Hand Gesture Recognition systems. Through an exhaustive analysis of papers sourced from reputable academic databases, it delves into the current technologies, algorithms, efficiency metrics, and performance evaluations of these systems. Noteworthy advancements in recognition accuracy and processing speed underscore the growing efficacy of these solutions, albeit challenges persist in achieving real-time translation and robustness across sign language dialects. Looking forward, the review identifies opportunities for future research, including algorithm refinement, multimodal approaches, and user-centric design considerations, thereby contributing to the ongoing development of inclusive communication technologies for the sign language community.