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 # LIMU-BERT
 LIMU-BERT, a novel representation learning model that can make use of unlabeled IMU data and extract generalized rather than task-specific features. 
 LIMU-BERT adopts the principle of natural language model BERT to effectively capture temporal relations and feature distributions in IMU sensor data. With the representations learned via LIMU-BERT, task-specific models trained with limited labeled samples can achieve superior performances.