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A novel lightweight skeletal temporal model for real-time,computationally efficient recognition of occupant thermal adaptation behavior

Zhe Wang Hao Sun John Kaiser Calautit Mingda Yang Jianbin Chen Rui Guan Jo Darkwa

建筑模拟（英文版）2025，Vol.18Issue(11)：2849-2874,26.

建筑模拟（英文版）2025，Vol.18Issue(11)：2849-2874,26.DOI:10.1007/s12273-025-1335-6

A novel lightweight skeletal temporal model for real-time,computationally efficient recognition of occupant thermal adaptation behavior

Zhe Wang ¹Hao Sun ²John Kaiser Calautit ¹Mingda Yang ³Jianbin Chen ¹Rui Guan ⁴Jo Darkwa¹

作者信息

1. Department of Architecture and Built Environment,University of Nottingham,NG7 2RD,UK
2. Department of Architecture and Built Environment,University of Nottingham,NG7 2RD,UK||Department of Civil and Environmental Engineering,University of Surrey,Guildford GU2 7XH,UK
3. Advanced Manufacturing Building,University of Nottingham,NG7 2GX,UK
4. Research Centre of Sustainable Built Environment,University of Nottingham Ningbo China,315100,China
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摘要

关键词

real-time/lightweight/SlowFast/ST-GCN/OpenPose/LSTM with attention

Key words

real-time/lightweight/SlowFast/ST-GCN/OpenPose/LSTM with attention

引用本文复制引用

Zhe Wang,Hao Sun,John Kaiser Calautit,Mingda Yang,Jianbin Chen,Rui Guan,Jo Darkwa..A novel lightweight skeletal temporal model for real-time,computationally efficient recognition of occupant thermal adaptation behavior[J].建筑模拟（英文版）,2025,18(11):2849-2874,26.

基金项目

The support by the University of Nottingham(Department of Architecture and Built Environment)is gratefully acknowledged. （Department of Architecture and Built Environment）

建筑模拟（英文版）

ISSN：1996-3599

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