SLR models show emergent phonological sensitivity with architectural trade-offs, where pose-based models align moderately with human perceptual judgments.
Proceedings of the AAAI conference on artificial intelligence , volume=
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Neurosymbolic framework grounds skeleton motion in learnable pose and dynamics concepts then reasons over them with differentiable logic to recognize actions interpretably on NTU and NW-UCLA benchmarks.
citing papers explorer
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Phonological Perception of Sign Language Models
SLR models show emergent phonological sensitivity with architectural trade-offs, where pose-based models align moderately with human perceptual judgments.
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Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition
Neurosymbolic framework grounds skeleton motion in learnable pose and dynamics concepts then reasons over them with differentiable logic to recognize actions interpretably on NTU and NW-UCLA benchmarks.