Publication: SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks
SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks
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Prasse, P., Reich, D. R., Makowski, S., Ahn, S., Scheffer, T., & Jäger, L. A. (2023). SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. Proceedings of the Symposium on Eye Tracking Research and Applications, 18. https://doi.org/10.1145/3588015.3588410
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Neural networks that process the raw eye-tracking signal can outperform traditional methods that operate on scanpaths preprocessed into fixations and saccades. However, the scarcity of such data poses a major challenge. We, therefore, present SP-EyeGAN, a neural network that generates synthetic raw eye-tracking data. SP-EyeGAN consists of Generative Adversarial Networks; it produces a sequence of gaze angles indistinguishable from human micro- and macro-movements. We demonstrate how the generated synthetic data can be used to pre-trai
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- Prasse, Paul
- Reich, David Robert
- Makowski, Silvia
- Ahn, Seoyoung
- Scheffer, Tobias
- Jäger, Lena A
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Prasse, P., Reich, D. R., Makowski, S., Ahn, S., Scheffer, T., & Jäger, L. A. (2023). SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. Proceedings of the Symposium on Eye Tracking Research and Applications, 18. https://doi.org/10.1145/3588015.3588410
