2020 · 10 citations · 12 references
ComputingComputer EngineeringComputer ScienceComputer VisionEmbedded SystemsMachine LearningDeep LearningEmotion RecognitionFace RecognitionFacial ExpressionGraphics Processing UnitsPattern RecognitionFacial Expression AnalysisFacial Expression ClassificationFacial Expression ProcessingFacial Expression RecognitionFacial Expression RepresentationFacial Recognition Systems
In this paper, we present a facial recognition system based on deep learning model. The proposed work is implemented on the embedded system named Raspberry Pi 4. For this, the “Xception convolutional neural network” model is chosen to achieve our emotion system recognition. The registered facial images are taken as input into the classifiers in the embedded system which classifies them into seven facial expressions. For the conduction of the experiment “Fer 2013” data set is used. The proposed model gives an accuracy of 94 % in Graphics Processing Unit” (GPU). After his implementation on the embedded system, according to his limitation against GPU performances, The accuracy is 89% on Raspberry Pi 4. Comparing to other recent works.
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