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. 2026 Jun 12;18:364. doi: 10.1186/s13102-026-01792-9

Table 1.

Methodological positioning of the present study against representative recent work across IMU-based motion analysis, multimodal fusion, and digital PE assessment

Study Modality Target Domain Inter-rater Reliability Reported Participant-wise Split Adaptive Temporal Alignment Multi-seed Evaluation
[1] IMU Sport biomechanics — — — —
[2] IMU + GPS + physiological Team sports Not reported Not reported Fixed-offset No
[3] Multi-source load + physiological Injury-risk prediction N/A Yes N/A No
[4] Event + positional Soccer match analysis N/A Match-wise Event-specific (DTW-based) No
[13] IMU Clinical gait — — — —
[20] Multimodal Precision health — — — —
[21] CT imaging + EHR Pulmonary embolism N/A Yes N/A No
[25] IMU + multi-sensor Human activity recognition N/A Random split N/A No
[29] Digital video Child PE assessment Reviewed (> 0.90) — — —
Ours IMU + digitized rubric School PE (4 sports) Yes (ICC 0.87; Fleiss’ κ 0.72) Yes (172 / 49 / 24 students) Yes (adaptive DTW; 312→18 ms) Yes (10 seeds)

Cells marked “—” indicate that the dimension is not applicable to the study type (e.g., review articles); “N/A” indicates that the empirical study targets an outcome for which the dimension does not naturally apply