HHAR Processed Data

The Heterogeneity Human Activity Recognition (HHAR) dataset has been collected from 9 different users using sensor readings from smartphones and smartwatches. In our experiments, we consider each user as a domain. We constructed 10 cross-domain scenarios from randomly selected users. We used the same smartphone device (Samsung) for all the selected users to reduce the heterogeneity异质性人类活动识别（Heterogeneity Human Activity Recognition, HHAR）数据集通过智能手机与智能手表的传感器读数采集自9名不同用户。在本实验中，我们将每位用户视作一个域，并从随机选取的用户中构建了10个跨域场景。为降低数据异质性，我们为所有入选用户统一使用了同一款三星（Samsung）智能手机设备。