HAR-DoReMi: Optimizing data mixture for self-supervised human activity recognition across heterogeneous IMU datasets.

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Title: HAR-DoReMi: Optimizing data mixture for self-supervised human activity recognition across heterogeneous IMU datasets.
Authors: Ban, Lulu1, llban@stu.usc.edu.cn, Zhu, Tao1, tzhu@usc.edu.cn, Lu, Xiangqing1, xqlu@stu.usc.edu.cn, Qiu, Qi1, qiuqi@stu.usc.edu.cn, Han, Wenyong1, wyhan@stu.usc.edu.cn, Li, Shuangjian2, shuangjianli@mail.dlut.edu.cn, Chen, Liming2, limingchen0922@dlut.edu.cn, Wang, Kevin I-Kai3, kevin.wang@auckland.ac.nz, Nie, Mingxing1, niemx@usc.edu.cn, Wan, Yaping1, ypwan@aliyun.com
Source: Neurocomputing; Sep2026, Vol. 694, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 194425012
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: HAR-DoReMi: Optimizing data mixture for self-supervised human activity recognition across heterogeneous IMU datasets.
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  Data: <searchLink fieldCode="AU" term="%22Ban%2C+Lulu%22">Ban, Lulu</searchLink><relatesTo>1</relatesTo>, <i>llban@stu.usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Tao%22">Zhu, Tao</searchLink><relatesTo>1</relatesTo>, <i>tzhu@usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lu%2C+Xiangqing%22">Lu, Xiangqing</searchLink><relatesTo>1</relatesTo>, <i>xqlu@stu.usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Qiu%2C+Qi%22">Qiu, Qi</searchLink><relatesTo>1</relatesTo>, <i>qiuqi@stu.usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Han%2C+Wenyong%22">Han, Wenyong</searchLink><relatesTo>1</relatesTo>, <i>wyhan@stu.usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Shuangjian%22">Li, Shuangjian</searchLink><relatesTo>2</relatesTo>, <i>shuangjianli@mail.dlut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Liming%22">Chen, Liming</searchLink><relatesTo>2</relatesTo>, <i>limingchen0922@dlut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Kevin+I-Kai%22">Wang, Kevin I-Kai</searchLink><relatesTo>3</relatesTo>, <i>kevin.wang@auckland.ac.nz</i><br /><searchLink fieldCode="AU" term="%22Nie%2C+Mingxing%22">Nie, Mingxing</searchLink><relatesTo>1</relatesTo>, <i>niemx@usc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wan%2C+Yaping%22">Wan, Yaping</searchLink><relatesTo>1</relatesTo>, <i>ypwan@aliyun.com</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194425012
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neucom.2026.133963
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      – Code: eng
        Text: English
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      – TitleFull: HAR-DoReMi: Optimizing data mixture for self-supervised human activity recognition across heterogeneous IMU datasets.
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            NameFull: Ban, Lulu
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            NameFull: Zhu, Tao
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            NameFull: Lu, Xiangqing
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            – D: 14
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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