Table 8 Summary of related studies using physiological signals.
References | Focus of study | Data source | Best model | Best physiological combination | Accuracy(Max) |
|---|---|---|---|---|---|
Hazard identification | EEG | CatBoost | — | 0.9510 | |
Perceived risk | fNIRS | CatBoost | — | 0.9030 | |
Perceived risk | PPG, EDA, ST | Gaussian SVM | EDA + ST + PPG | 0.8120 | |
FFH risk | EEG, EDA, PPG, ST | CatBoost | EEG + EDA + PPG + ST | 0.9980 | |
Fall-risk assessment | inertial motion data | CNN-LSTM | — | 0.9130 | |
Emotion recognition | multisource throat physiological signals | LightGBM | — | 0.9890 | |
Mental workload | ECG, EDA | KNN | — | 0.9310 | |
Current study | Hazard perception | EEG, EDA, HRV | LightGBM | EEG + EDA + HRV | 0.9989 |
