Table 1 Data collection and preprocessing specifications.
From: Intelligent optimization of track and field teaching using machine learning and wearable sensors
Data type | Primary source | Sampling rate | Preprocessing methods |
|---|---|---|---|
Acceleration | Wearable IMUs | 200 Hz | Butterworth filtering, gravity compensation, anatomical alignment |
Angular velocity | Wearable IMUs | 200 Hz | Drift correction, anatomical reference transformation |
Video | Multi-angle HD cameras | 120 fps | Background subtraction, human pose estimation, trajectory extraction |
Force/pressure | Instrumented surfaces | 1000 Hz | Baseline calibration, impulse identification, spatial normalization |
Performance metrics | Electronic timing systems | Event-based | Statistical validation, outlier detection |
Environmental | Weather station | 0.1 Hz | Temporal interpolation, contextual annotation |
