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Inventi Rapid - Biomedical Engineering

Articles

  • Inventi:ebe/29526/19
    FETAL FACIAL EXPRESSIONS RECOGNITION FOR NEUROBEHAVIORAL ASSESSMENT USING GABOR WAVELETS AND ARTIFICIAL NEURAL NETWORK
    Sushama Telrandhe*, Prema Daigavane

    Fetus facial expression analysis is a recent and upcoming field of study in the area of biomedical image processing. Fetus images are obtained using 3D ultra-sounds. It is one of the important assessments for describing the condition of fetus in womb. The assessment of fetal behavior in different periods of gestation may make possible early diagnosis of various structural or functional abnormalities. Proposed approach is working on 3D fetal images dataset which consists of four steps, namely preprocessing, face detection, facial feature extraction and emotion recognition. This paper describes the study that uses Gabor wavelets for feature extraction and multilayered artificial neural network for classification. The main advantage of the proposed system is that it not only detects facial expression but also improves the Human Computer Interface (HCI) and motivates us to detect and extract different behavior of the baby prior to birth.

    How to Cite this Article
    Sushama Telrandhe, Prema Daigavane. Fetal Facial Expressions Recognition for Neurobehavioral Assessment using Gabor Wavelets and Artificial Neural Network. Inventi Rapid: Biomedical Engineering, 2020(1):1-6, 2019.
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