Sistema de realidade aumentada para visualização de músculos faciais ativados por expressões faciais

Abstract

In order to encourage the use of new technologies for teaching and learning about the facial muscles, the present work linked two research trends, the identification of facial expressions in real time and the use of augmented reality systems. The main objective of this research is the development of an augmented reality system capable of displaying the muscles associated with the facial movements performed by the user. Initially the system receives and treats the data of the user's facial characteristics and performs a calibration step to identify the maximum movements. Subsequently, the action units present at the time of analysis are identified and the facial muscles that are anatomically related to the movements are rendered on the user's face. In addition to the muscles and action units, the system also displays the intensity levels of the movements performed. To validate the work computationally, the system was presented to 3 individuals, whose ages ranged from 25 to 33 years. The test results show a recognition mean rate of the action units of 72.38% and indicate that the proposed system can be a useful tool for learning about facial muscles