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        Realistic Painful Expression Synthesis Using Generative Models

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        MasterThesis.pdf (38.90Mb)
        Publication date
        2023
        Author
        Chen, Sylvia
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        Summary
        Automatic Pain Assessment (APA) through facial expressions meets the challenge of limited pain expression data and imbalanced pain levels. Traditional data augmentation schemes do not contribute additional semantic information about the infrequent label. In this paper, we propose a novel data augmentation scheme using Generative Adversarial Networks (GANs).
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        https://studenttheses.uu.nl/handle/20.500.12932/44557
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