建筑模拟（英文版）2025，Vol.18Issue(8)：2039-2055,17.DOI:10.1007/s12273-025-1295-x
Recognition of children's movement patterns during recess for characterizing particle exposure doses
Recognition of children's movement patterns during recess for characterizing particle exposure doses
Feng Yuan 1Runming Yao 2Prashant Kumar 3Christopher Pain 4Ziyu Shu 1Baizhan Li1
作者信息
- 1. Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education),Chongqing University,Chongqing 400045,China||National Centre for International Research of Low-carbon&Green Buildings(Ministry of Science and Technology),Chongqing University,Chongqing 400045,China
- 2. Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education),Chongqing University,Chongqing 400045,China||National Centre for International Research of Low-carbon&Green Buildings(Ministry of Science and Technology),Chongqing University,Chongqing 400045,China||School of the Built Environment,University of Reading,UK
- 3. Global Centre for Clean Air Research(GCARE),School of Sustainability,Civil and Environmental Engineering,Faculty of Engineering and Physical Sciences,University of Surrey,Guildford GU2 7XH,UK||Institute for Sustainability,University of Surrey,Guildford GU2 7XH,UK
- 4. Department of Earth Science and Engineering,Imperial College London,London SW7 2AZ,UK
- 折叠
摘要
关键词
activity speed/activity duration/machine learning/primary school/particulate matter exposureKey words
activity speed/activity duration/machine learning/primary school/particulate matter exposure引用本文复制引用
Feng Yuan,Runming Yao,Prashant Kumar,Christopher Pain,Ziyu Shu,Baizhan Li..Recognition of children's movement patterns during recess for characterizing particle exposure doses[J].建筑模拟（英文版）,2025,18(8):2039-2055,17.基金项目
This work was supported by the National Natural Science Foundation of China(Grant No.52278090),Ministry of Science and Technology of the People's Republic of China.Prashant Kumar acknowledges the support received through the EPSRC-funded COTRACE/SAMHE project(EP/W001411/1). （Grant No.52278090）
