Hand Gesture Recognition Algorithm Using SVM and HOG Model for Control of Robotic System

In this study, we propose the gesture recognition algorithm using support vector machines (SVM) and histogram of oriented gradient (HOG). Besides, also use CNN model to classify gestures. We approach select techniques applying problem controlling for robotic system. The goal is detect gestures with real-time processing speed, minimize interference, reduce ability capture unintentional Static controls are used in study including on, off, increasing, decreasing. it uses motion turning on status switch increasing decreasing volume. Results show that up 99% accuracy a 70-millisecond execution time per frame suitable industrial applications.