arXiv Machine Learning June 10, 2026 By Anik Ghosh

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

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arXiv:2606. 10789v1 Announce Type: new Abstract: Zero-shot learning (ZSL) for inertial measurement unit (IMU)-based human activity recognition (HAR) faces a central challenge: bridging the gap between sensor embeddings and semantic class representations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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