CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
Cross-position activity recognition with stratified transfer learning
Chen, Yiqiang1,2; Wang, Jindong1,2; Huang, Meiyu3; Yu, Han4
2019-07-01
发表期刊PERVASIVE AND MOBILE COMPUTING
ISSN1574-1192
卷号57页码:1-13
摘要Human activity recognition (HAR) aims to recognize the activities of daily living by utilizing the sensors attached to different body parts. HAR relies on the machine learning models trained using sufficient activity data. However, when the labels from a certain body position (i.e. target domain) are missing, how to leverage the data from other positions (i.e. source domain) to help recognize the activities of this position? This problem can be divided into two steps. Firstly, when there are several source domains available, it is often difficult to select the most similar source domain to the target domain. Secondly, with the selected source domain, we need to perform accurate knowledge transfer between domains in order to recognize the activities on the target domain. Existing methods only learn the global distance between domains while ignoring the local property. In this paper, we propose a Stratified Transfer Learning (STL) framework to perform both source domain selection and activity transfer. STL is based on our proposed Stratified distance to capture the local property of domains. STL consists of two components: 1) Stratified Domain Selection (STL-SDS), which can select the most similar source domain to the target domain; and 2) Stratified Activity Transfer (STL-SAT), which is able to perform accurate knowledge transfer. Extensive experiments on three public activity recognition datasets demonstrate the superiority of STL. (C) 2019 Elsevier B.V. All rights reserved.
关键词Activity recognition Transfer learning Domain adaptation Pervasive computing
DOI10.1016/j.pmcj.2019.04.004
收录类别SCI
语种英语
资助项目National Key RD Plan of China[2017YFB1002802] ; NSFC[61572471] ; NSFC[61472399] ; NSFC[61702520] ; Beijing Municipal Science & Technology Commission[Z171100000117017]
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Telecommunications
WOS记录号WOS:000470252100001
出版者ELSEVIER SCIENCE BV
引用统计
被引频次:55[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/4212
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Yiqiang
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Devices, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing, Peoples R China
4.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
推荐引用方式
GB/T 7714
Chen, Yiqiang,Wang, Jindong,Huang, Meiyu,et al. Cross-position activity recognition with stratified transfer learning[J]. PERVASIVE AND MOBILE COMPUTING,2019,57:1-13.
APA Chen, Yiqiang,Wang, Jindong,Huang, Meiyu,&Yu, Han.(2019).Cross-position activity recognition with stratified transfer learning.PERVASIVE AND MOBILE COMPUTING,57,1-13.
MLA Chen, Yiqiang,et al."Cross-position activity recognition with stratified transfer learning".PERVASIVE AND MOBILE COMPUTING 57(2019):1-13.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chen, Yiqiang]的文章
[Wang, Jindong]的文章
[Huang, Meiyu]的文章
百度学术
百度学术中相似的文章
[Chen, Yiqiang]的文章
[Wang, Jindong]的文章
[Huang, Meiyu]的文章
必应学术
必应学术中相似的文章
[Chen, Yiqiang]的文章
[Wang, Jindong]的文章
[Huang, Meiyu]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。