Improving facial expression recognition for autism with IDenseNet‐RCAformer under occlusions
S. Selvi,
M. Parvathy
Abstract:The term ‘autism spectrum disorder’ describes a neurodevelopmental illness typified by verbal and nonverbal interaction impairments, repetitive behaviour patterns and poor social interaction. Understanding mental states from FEs is crucial for interpersonal interaction and social interaction. But when there are occlusions like glasses, facial hair or self‐occlusion, it becomes harder to identify facial expressions accurately. This research tackles the issue of identifying facial expressions when parts of the f… Show more
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