DEMO ANIS：2412.04184 Modeling Eye Gaze Velocity Trajectories using GANs

demo anis   sloto demo Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models like Markov models often fail to capture the complex temporal dependencies and distributional nuance inherent in eye gaze trajectories data. This study introduces a GAN framework employing LSTM and CNN generators and

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