A Pilot Study on Thermal Comfort in Young Adults: Context-Aware Classification Using Machine Learning and Multimodal Sensors

A Pilot Study on Thermal Comfort in Young Adults: Context-Aware Classification Using Machine Learning and Multimodal Sensors

While personal thermal comfort is critical for well-being and productivity, it is often overlooked by traditional building management systems that rely on uniform settings. Modern data-driven approaches often fail to capture the complex interactions between various data streams. This pilot study int...

Full description

Saved in:
Bibliographic Details
Main Authors: Bibars Amangeldy, Timur Imankulov, Nurdaulet Tasmurzayev, Serik Aibagarov, Nurtugan Azatbekuly, Gulmira Dikhanbayeva, Aksultan Mukhanbet
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
thermal comfort
machine learning
physiological monitoring
indoor environmental quality
SHAP analysis
wearable sensors
Online Access:https://www.mdpi.com/2075-5309/15/15/2694
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-5309/15/15/2694

Similar Items