IMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
Overview
IMU-Bench evaluates ten tasks from eight datasets, comparing six self-supervised methods. InrtlWrist achieves best or joint-best performance on nine tasks, with fine-tuning improving key results. Trade-offs between task-specific supervision and cross-task generalization are highlighted.
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- arXiv Robotics — research abstractsIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
IMU-Bench is a benchmark of ten tasks from eight datasets that evaluates the multi-task performance and cross-task transfer of wrist-worn inertial measurement units (IMUs). The study compares six self-supervised methods, finding that the masked autoencoder InrtlWrist achieves the best or joint-best performance on nine of ten tasks, with fine-tuning further improving results on key tasks. The research underscores the trade-offs between task-specific supervision and cross-task generalization.
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