Sparse Calibration for Personalized Gait Estimation with Wearable IMUs
Overview
A study uses sparse calibration and wearable IMUs to personalize gait phase estimation, reducing phase error but showing no significant speed improvement in real-time tests.
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Event evidence and corrections
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Reported quantity · speed: 28 other · Basis not reported
“arXiv:2610.03931v1 Announce Type: new Abstract: This paper presents sparse calibration-based personalization for kernel-based gait phase and walking speed co-estimation from wearable inertial measurement units (IMUs). A 28-speed reference library was constructed from bilateral thigh and shank trajectories in a 20-subject locomotion dataset. Rather than directly applying population-average kernels, the method combines”
Exact source · revision 1Source owner not reported
Reported quantity · subjects: 20 other · Basis not reported
“arXiv:2610.03931v1 Announce Type: new Abstract: This paper presents sparse calibration-based personalization for kernel-based gait phase and walking speed co-estimation from wearable inertial measurement units (IMUs). A 28-speed reference library was constructed from bilateral thigh and shank trajectories in a 20-subject locomotion dataset. Rather than directly applying population-average kernels, the method combines”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSparse Calibration for Personalized Gait Estimation with Wearable IMUs
This study personalizes gait phase and speed estimation using sparse calibration and wearable IMUs. Personalized kernels reduced phase error but showed no significant speed improvement in real-time testing.
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