Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions.

ABSTRACT: Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical and sports applications. One possible approach is using a sparse inertial sensor setup, where sensors are not placed on all relevant body segments. Here, we investigated if movement variables can be estimated similarly accurate from sparse sensor setups as from a full lower-body sensor setup. We estimated the variables by solving optimal control problems with sagittal plane lower-body musculoskeletal models, in which we minimized an objective that combined tracking of accelerometer and gyroscope data with minimizing muscular effort. We created simulations for 10 participants at three walking and three running speeds, using seven sensor setups with between two and

SUBMITTER: Dorschky E 

PROVIDER: S-EPMC11879983 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature