AI RESEARCH
Modular Retrieval-Augmented Generalization for Human Action Recognition
arXiv CS.LG
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ArXi:2605.08117v1 Announce Type: cross Inertial Measurement Unit (IMU)-based Human Activity Recognition (HAR) aims to interpret and classify user behaviors from temporal motion signals. Recently, deep learning frameworks have advanced this task by learning and extracting discriminative spatiotemporal representations, significantly improving recognition performance. However, IMU-based HAR still faces several critical challenges, particularly limited