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

Journal of robotics

article

Phat Nguyen Huu¹  Tan Phung Ngoc¹ 

[1] School of Electronics and Telecommunications, Hanoi University of Science and Technology

DOI  :  10.1155/2021/3986497

学科分类：社会科学、人文和艺术（综合）

来源: Hindawi Publishing Corporation

【 摘 要 】

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

【 授权许可】

CC BY