GESTURE X: A Vision-Based Hand Gesture Recognition System for Enhanced Human-Computer Interaction and Safety Applications

Authors- Padamutham Neelima, Adusumalli Durga Prasad, Cherukupalli Thanmai, Vana Chandra Shekhar, Nalliboina Aryan Rajesh

Abstract--GESTURE X stands as a future-oriented system using vision-based hand gesture identification capabilities which aims to revolutionize human-computer interactions by means of touch-free natural movement commands. GESTURE X functions through combination of computer vision technologies and artificial intelligence with gesture recognition algorithms to allow users natural hand movements for digital system interaction. GESTURE X operates with normal cameras that exist in Smartphone’s and laptops so users can achieve efficient control through an approachable solution at an affordable price. The Women Safety Gesture stands out as a remarkable feature because it provides users with a secret method to request emergency alerts through predefined motions while requiring no physical touch of the device. Users of Smart Sprinkler gain control over remote irrigation management to improve their agricultural water usage when they install the system. GESTURE X builds Heart Stroke Detection as a health-related capability that detects initial heart issues by processing visual user behavior signals. Other utilities include PowerPoint presentation control, virtual painting, gesture-based volume control, virtual mouse operations, auto snap application opening, and even virtual dance, where digital avatars can be animated in real time. By integrating creativity, utility, and safety, GESTURE X introduces a revolutionary approach to interacting with digital environments, pushing the boundaries of how we perceive and use gesture-driven technology across diverse sectors like education, healthcare, entertainment, and smart living.

DOI: /10.61463/ijset.vol.13.issue2.400