| Abstract |
| The objective of this study was to test the estimation possibility of driver`s stress degrees with the HRV analysis. For this, first, HRV analysis was applied to the 5 driver`s ECG signals which were acquired in 7 different stress situations. From this, the facts that HRV trend was different from that in long-distance driving and 6 parameters-meanRR, sdRR, HF, LF/HF, LFnorm, HFnorm were useful for the stress estimation in stress varying driving situation. Next, we designed 5 personalized linear regression models in which 6 HRV parameters were input and the outcomes were 7 different stress degrees. Finally, we tested each model for 5min-long 16 segments individually. Consequently, the models could not hit the stress degrees exactly in some segments but the correlation coefficients between original stress pattern and estimated stress pattern during entire driving showed reasonably high. |
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| Key Words |
| Driver, HRV analysis, stress degrees estimation, Linear regression model, 운전자, 심박변이도 분석, 스트레스 정도 추정, 선형회귀 모델 |
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