AI RESEARCH
A Lightweight Transformer for Pain Recognition from Brain Activity
arXiv CS.CV
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ArXi:2604.16491v1 Announce Type: new Pain is a multifaceted and widespread phenomenon with substantial clinical and societal burden, making reliable automated assessment a critical objective. This paper presents a lightweight transformer architecture that fuses multiple fNIRS representations through a unified tokenization mechanism, enabling joint modeling of complementary signal views without requiring modality-specific adaptations or increasing architectural complexity.