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Entire pipeline for binary drowsiness detection on UTA dataset. Training of an SVM blink detector for the feature extraction and model the data in a sequential way in order to test the performance of LSTM networks on the task. This project is a simplificated version of the great work of this paper: https://arxiv.org/abs/1904.07312

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giacoballoccu/DeepLearning-DrowsinessDetection

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Entire pipeline for binary drowsiness detection on UTA dataset. Training of an SVM blink detector for the feature extraction and model the data in a sequential way in order to test the performance of LSTM networks on the task. This project is a simplificated version of the great work of this paper: https://arxiv.org/abs/1904.07312

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