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Inertia-1: An Open Exploration of Wearable Motion Foundation Models

BACKGROUND
3 SIGNALSFIRST DETECTED 9 July 2026
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How the story developed
14 Sept
23 Jul
9 Jul
Other feeds and industry voices
4 May
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling

arXiv:2605.00412v1 Announce Type: new Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and

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1 Apr
A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors

arXiv:2603.28784v1 Announce Type: cross Abstract: This Data Descriptor presents a fully open, multi-modal dataset for estimating vertical ground reaction force (vGRF) from

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27 Mar
A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

arXiv:2603.25283v1 Announce Type: new Abstract: Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a

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17 Jul
Classifying daily activities needs posture, reconstructing them needs motion

arXiv:2607.13216v1 Announce Type: cross Abstract: Humans recognize movements effortlessly, even from noisy and complex visual input. But what information in the stimulus allows

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

arXiv:2603.18532v1 Announce Type: cross Abstract: The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar

REPORT · HOW · ArXiv CS.AIOPEN STORY
19 Jun
PhysDrift: Bridging the Embodiment Gap in Humanoid Co-Speech Motion Generation

arXiv:2606.19935v1 Announce Type: new Abstract: Humanoid robots require co-speech motions that are not only expressive and speech-aligned, but also physically executable under

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12 Aug
FemWear: A Specialized Wearable Foundation Model for Women's Health

arXiv:2608.08244v1 Announce Type: new Abstract: General wearable foundation models are pretrained across broad sensor streams and populations, but are not designed around

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

arXiv:2604.21952v1 Announce Type: cross Abstract: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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