Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions.

ABSTRACT: In recent years, real-time face recognition has been a major topic of interest in developing intelligent human-machine interaction systems. Over the past several decades, researchers have proposed different algorithms for facial expression recognition, but there has been little focus on detection in real-time scenarios. The present work proposes a new algorithmic method of automated marker placement used to classify six facial expressions: happiness, sadness, anger, fear, disgust, and surprise. Emotional facial expressions were captured using a webcam, while the proposed algorithm placed a set of eight virtual markers on each subject's face. Facial feature extraction methods, including marker distance (distance between each marker to the center of the face) and change in marker distance (c

SUBMITTER: Maruthapillai V 

PROVIDER: S-EPMC4747560 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature