IIIT Hyderabad Publications |
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Facial Emotion Detection Using Different CNN Architectures: Hybrid Vehicle DrivingAuthors: Garimella Ramamurthy Date: 2017-05-15 Report no: IIIT/TR/2017/114 AbstractIn this research paper, we train convolutional neural network(CNN) to be able to classify facial emotions/ expressions. Using JAFFE(Japanese Female Facial Expressions) database of facial emotion images, we trained a CNN and are able to achieve good accuracy during training phase. We proposed the concept of hybrid vehicle employing a CNN for detecting drowsiness or alertness of the driver. We propose to be able to perform drowsiness detection in real-time. Full report: pdf Centre for Communications |
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