Design of Real Time Facial Tracking and Expression Recognition for Human-Robot Interaction

In this study, we investigate the facial tracking and expression recognition to developed Social Robot called SyPEHUL (System of Physics, Electronics, HUmanoid robot and machine Learning). This social robot contains by 12 Degree of Freedom (DoF) for actuating robotic head based on Arduino microcontroller to display four type different facial expressions and tracking of the human face. In this research, expression recognition processed by an algorithm based on Python 2.7 (with OpenCV library) using Cascade Classification and LBPH Face Recognizer. The result shows that the implementation of facial tracking and expression recognition to Social Robot show a good accuracy of recognition rate and works well for Human-Robot Interaction.