A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors
This Data Descriptor presents a fully open, multi-modal dataset for estimating vertical ground reaction force (vGRF) from consumer-grade Apple Watch sensors with laboratory force plate ground truth. Ten healthy adults aged 26--41 years performed five activities: walking, jogging, running, heel drops, and step drops, while wearing two Apple Watches positioned at the left wrist and waist. The dataset contains 492 validated trials with time-aligned inertial measurement unit (IMU) recordings (approximately 100 Hz) and force plate vGRF (Force\_Z, 1000 Hz). The release includes raw and processed time series, trial-level metadata, quality-control flags, and machine-readable data dictionaries. Tr...
| Authors | Parvin Ghaffarzadeh, Debarati Chakraborty, Koorosh Aslansefat et al. |
|---|---|
| Primary category | eess.SP |
| Published | 19 March 2026 |
| Last updated at source | 19 March 2026 |
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