Research Article
Thermal Comfort Model Established by Using Machine Learning Strategies Based on Physiological Parameters in Hot and Cold Environments
Table 3
values of physiological parameters under levels 1 and 2 of various stimulations.
| | Physiological parameters | Cold wind stimulation | Hot wind stimulation | Radiation stimulation | | Level 1 | Level 2 | Level 1 | Level 2 | Level 1 | Level 2 |
| | TSV_SBF | 0.000 | 0.000 | 0.047 | 0.000 | 0.112 | 0.000 | | TSV_Sweat | 0.000 | 0.000 | 0.000 | 0.847 | 0.000 | 0.000 | | TSV_T | 0.000 | 0.000 | 0.000 | 0.008 | 0.000 | 0.000 | | T_SBF | 0.041 | 0.003 | 0.196 | 0.001 | 0.000 | 0.000 | | T_Sweat | 0.718 | 0.001 | 0.000 | 0.112 | 0.011 | 0.166 | | SBF_Sweat | 0.0268 | 0.090 | 0.000 | 0.000 | 0.000 | 0.001 |
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