A Generalized Thermal Comfort Model using Thermographic Images and Compact Convolutional Transformers: Towards Scalable and Adaptive Occupant Comfort Optimization DOI
Vincent Gbouna Zakka, Minhyun Lee

Building and Environment, Journal Year: 2024, Volume and Issue: 266, P. 112118 - 112118

Published: Sept. 24, 2024

Language: Английский

Ten questions Concerning Living Laboratories (LL) for Multi-domain Comfort Investigations DOI Creative Commons
Anna Laura Pisello,

Toka M. Amer,

Benedetta Pioppi

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112750 - 112750

Published: March 1, 2025

Language: Английский

Citations

0
Vision-based personal thermal comfort modeling under facial occlusion scenarios DOI
Guanying Huang, Dezhi Li, S. Thomas Ng

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115566 - 115566

Published: March 1, 2025

Language: Английский

Citations

0
Using SHAP and Machine Learning for Dynamic Thermal Comfort Estimation during temperature ramp conditions with infrared camera DOI
Xiaojing Li, Jiajun Xu, Jingsi Zhang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112824 - 112824

Published: March 1, 2025

Language: Английский

Citations

0
A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Design DOI Creative Commons
Biao Yin, Lijun Wang, Yuan Xu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 895 - 895

Published: March 13, 2025

With the transformation of urban development patterns and profound changes in population structure China, outdoor activity spaces residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, intergenerational conflicts, which severely impact residents’ quality life hinder high-quality development. Guided by principles all-age friendly inclusive design, this study innovatively integrates eye-tracking multi-modal physiological monitoring technologies to collect both subjective objective perception data different age groups regarding through human factor experiments empirical interviews. Machine learning methods utilized analyze data, uncovering differentiated response mechanisms among diverse clarifying characteristics these spaces. The findings reveal that: (1) Common Demands: All prioritize spatial features unobstructed views, adequate space, landscapes, proximity accessibility, smooth pavement surfaces, with similar levels concern. (2) Differentiated Characteristics: Children place greater emphasis on environmental familiarity children’s play while middle-aged elderly show heightened concern for efficient parking management, facilities. (3) Technical Validation: Heart Rate Variability (HRV) was identified core indicator inclusivity dimensionality reduction using Self-Organizing Maps (SOM), Extra Trees model demonstrated superior performance prediction. By integrating multi-group standardizing experimental environments, applying intelligent mining, achieves fusion in-depth analysis, providing theoretical methodological support precisely optimizing advancing communities.

Language: Английский

Citations

0
Does user-centric thermal environment control require real-time recognition of user's clothing condition? A laboratory pilot study DOI
Jiaqi Zhao, Rui Wang, Chungyoon Chun

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112939 - 112939

Published: March 1, 2025

Language: Английский

Citations

0
A novel method of calculating mean skin temperature with high thermal sensitivity for thermal sensation evaluation DOI

Xiaowen Su,

Ongun Berk Kazanci, Bjarne W. Olesen

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: 340, P. 115809 - 115809

Published: April 29, 2025

Language: Английский

Citations

0
The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity DOI
Kexin Xie, Minhyun Lee, Rihab Khalid

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 298, P. 113552 - 113552

Published: Sept. 18, 2023

Language: Английский

Citations

9
A personalized regression model for predicting thermal sensation based on local skin temperature in moderate summer conditions DOI
Yun Qi, Rui Wang, Chaoyi Zhao

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 301, P. 113719 - 113719

Published: Nov. 2, 2023

Language: Английский

Citations

9
Overall and local environmental collaborative control based on personal comfort model and personal comfort system DOI

Yeyu Wu,

Haihua Jiang,

Weiming Chen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123707 - 123707

Published: June 21, 2024

Language: Английский

Citations

3
Transfer learning with unsupervised domain adaptation for personal thermal comfort prediction DOI Creative Commons
Chuangkang Yang, Keiichiro Taniguchi, Yasunori Akashi

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115449 - 115449

Published: Feb. 1, 2025

Language: Английский

Citations

0