摘要 : Unsupervised user adaptation aligns the feature distributions of the data from training users and the new user, so a well-trained wearable human activity recognition (WHAR) model can be well adapted to the new user. With the devel... 展开
作者 | Ling Chen Yi Zhang Shenghuan Miao Sirou Zhu Rong Hu Liangying Peng Mingqi Lv |
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作者单位 | |
页码/总页数 | 5492-5503 / 12 |
语种/中图分类号 | 英语 / TN92 |
关键词 | Adaptation models Wearable sensors Sensors Data models Feature extraction Training Activity recognition |
DOI | 10.1109/TMC.2022.3171312 |
馆藏号 | IELEP0259 |