基于多元生理参数的人体热舒适程度自动检测方法综述

A Review of an Automatic Detection Method for Thermal Comfort of Human Body Based on Multiple Physiological Parameters

为了提高人体热舒适程度自动检测能力,提出基于多元生理参数的人体热舒适程度自动检测方法。以心率HR、最大摄氧量VO2max、氧脉搏O2P等生理参数作为人体热舒适程度自动检测的多元指标体系,建立人体热舒适程度自动检测的多元生理参数回归分析模型,结合样本统计分析方法对人体热舒适程度进行分析,实现人体热舒适程度自动检测和优化。仿真结果表明,采用该方法进行人体热舒适程度自动检测的准确性较高,对生理参数的评估性能较好,有效指导了人体运动训练。

In order to improve the automatic detection ability of human thermal comfort,an automatic detection method of human thermal comfort based on multiple physiological parameters is proposed.By taking the physiological parameters such as heart rate HR,maximum oxygen uptake VO2max and oxygen pulse O2P as the multivariate index system for automatic detection of human thermal comfort,the regression analysis model of multiple physiological parameters for automatic detection of human thermal comfort is established.Combined with the sample statistical analysis method,human thermal comfort is analyzed,the automatic detection and optimization of human thermal comfort are realized.The simulation results show that the accuracy of automatic detection of human thermal comfort is high and the evaluation performance of physiological parameters is better,which effectively guides human motion training.