Development of Web Content for Music Education Using AR Human Facial Recognition Technology

Abstract

As the media market changes rapidly, market demand is increasing for content that can be consumed on web platforms. It’s required to produce differentiated web content that can attract viewers’ interest. In order to increase the productivity and efficiency of content creation, cases of content production using AR engines are increasing. This study has a development environment in which parametrics and muscle-based model techniques are mixed. The faces of famous Western classical musicians, such as Mozart, Beethoven, Chopin and List are created as 3D characters and augmented on human’s face based on facial recognition technology in this study. It analyzes and traces the changed of facial expression of each person, then apply to 3D character’s facial expression in real-time. Each person who augmented musicians’ faces can become those who lived in different times, deliver information and communicate with viewers of the present era based on the music educational scripts. This study presents a new direction for video production required in the media market.