A CNN-LSTM model predicts pupil center coordinates from event camera frames with roughly 81% pixel accuracy on a public eye-tracking dataset, outperforming CNN-GRU and CNN-BiLSTM in this comparison.
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A deep learning approach to track eye movements based on events
A CNN-LSTM model predicts pupil center coordinates from event camera frames with roughly 81% pixel accuracy on a public eye-tracking dataset, outperforming CNN-GRU and CNN-BiLSTM in this comparison.