Facial Expression Recognition of Unborn babies by Lip Detection

Classification of unborn baby facial expressions is done to recognized mood of the fetus. The emotions of unborn baby facial actions is a progressive process related to brain growth. From the 4D scans of unborn baby, showed that they develop expression at 24 weeks by making very simple one-dimensional emotion, such as moving their lips to complex emotions such as “pain” expressions. Proposed work created the landmark points of all images and then it is possible to compare the fetal images with landmarks. Fetal images of various expressions created by landmark points of face considering eyes, nose and lips corner points by using matlab 15. Propose work used dark channel prior algorithm for fetal image enhancement, a multi-layered feature extraction system using Local Feature Detectors and Descriptors like Harris key-points, Speed up Robust Features (SURF) and compared result by Gabor features extraction method. AI is used to classify the mood of the fetus. Also the relation between fetus age and expressions are studied, which can be used to give another index of the health indicator of a baby in womb to the doctors.