Real-time Hand Gestures System for Mobile Robots Control

Abstract

Autonomous mobile robot navigation in an indoor environment using vision sensor is receiving a considerable attention in current robotics research activities. In this paper, a robot controlled by real-time hand gesture is proposed. This system includes an image pre-processing and feature of extraction state that consists of bounding box and Center-Of-Mass based computation. Through the feature of extraction state, the object's Center-Of-Mass and bounding box attributes are extracted to be applied for gesture sign control. This system could be used in gesture recognition for robot control applications. The result shows the developed mobile robots could be controlled successfully through hand gestures that facilitate the process of human-robot interaction.