Feature extraction is crucial for human activity recognition (HAR) using body-worn movement sensors. Recently, learned representations have been used successfully, offering promising alternatives to manually engineered features. Our work focuses on effective use of small amounts labeled data and the opportunistic exploitation unlabeled that are straightforward collect in mobile ubiquitous compu...