WISDM is another popular activity recognition dataset for the evaluation of time series domain adaptation. In this dataset, accelerometer sensors were applied to collect data from 36 subjects. This data can be more challenging because of the class imbalance issue among different subjects. Particularly, some subjects may contain only samples from a subset of the overall classes. We consider each subject as a separate domain and we randomly select five cross-domain scenarios.