Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for capturing these forces in diverse, real-world scenarios. Sensor insoles pose no constraint on the users' motion and are unaffected by line-of-sight limitations. These qualities make sensor insoles an ideal choice for robust, unconstrained motion capture, particularly in outdoor environments. Surprisingly, leveraging these devices with recent motion reconstruction methods remains largely unexplored. Aiming to fill this gap, we present Step2Motion, the first approach to reconstruct human locomotion from multi-modal insole sensors. Our method utilizes pressure and inertial data captured by the insoles to reconstruct human motion. We evaluate the effectiveness of our approach across a range of experiments to show its versatility for diverse locomotion styles. The complete source code, trained model, data, and supplementary material can be found at: https://vcai.mpi-inf.mpg.de/projects/Step2Motion/
Description
@article{10.1111:cgf.70405,
journal = {Computer Graphics Forum},
title = {{Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles}},
author = {Ponton, Jose Luis and Alvarado, Eduardo and Foo, Lin Geng and Pelechano, Nuria and Andujar, Carlos and Habermann, Marc},
year = {2026},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70405}
}