A musculoskeletal-simulation-based IMU augmentation pipeline with inverse-kinematics validation and threshold-optimized automatic labeling improves classification on one balanced dataset but yields mixed gains on imbalanced, ambiguously labeled datasets.
E., Dennis, S., Canning, C
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Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation
A musculoskeletal-simulation-based IMU augmentation pipeline with inverse-kinematics validation and threshold-optimized automatic labeling improves classification on one balanced dataset but yields mixed gains on imbalanced, ambiguously labeled datasets.