An IMU dataset for human thermal comfort activities identification: Experimental designs and applications
Thermal comfort of occupants is key feedback information for improving indoor environment and managing building energy use. Through analyzing inertial measurement units (IMU) data from wearable devices with machine learning, thermal comfort of occupants can be detected in a non- intrusive method. Th...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
KeAi Communications Co., Ltd.
2025-02-01
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| coleção: | Energy and Built Environment |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2666123323000818 |
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