arXiv: cs.AI preprintsInternational6 November 2026
IMUDINO: Self-distilled Foundation Model for Inertial Sensing
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arXiv:2611.07437v1 Announce Type: cross Abstract: We present IMUDINO, the first foundation model (FM) for inertial sensing to achieve competitive performance across diverse sensing tasks including human activity recognition (HAR), health, motion capture, and odometry. Prior inertial FMs often focus on one subfield of inertial sensing and sometimes underperform state-of-the-art supervised methods (e.g., in HAR), making their scope considerably narrower than FMs for vision and natural language. Moreover, they often require fixed input length and sampling rate, and generalize poorly to unseen sen
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