It is expensive and time-consuming to collect sufficient labeled data for human activity recognition (HAR). Domain adaptation a promising approach cross-domain recognition. Existing methods mainly focus on adapting representations via domain-level, class-level, or sample-level distribution matching. However, they might fail capture the fine-grained locality information in data. The domain- clas...