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Table 2 Performance and accuracy of the fatigue driving detection model

From: Fatigue driving detection based on electrooculography: a review

No. of references Model Publication Accuracy
5 Finite-state machine (FSM) IET science, measurement and technology 99%
10 Support vector machine (SVM) Expert systems with application 86.67%
16 Support vector machine (SVM) Biomedical signal processing and control 86 ± 3%
19 Support vector machine (SVM) Automation in construction 85.0%
25 Bayes classifier (BL) Medical engineering and physics 83.40%
29 Relevant vector machine (RVM) IEEE access 99.1 ± 1.2%
31 Fuzzy and neuro fuzzy based (NF) IEEE transactions on systems, man, and cybernetics—part a: systems and humans 80.6%
32 Discriminative graph regularized extreme learning machine (GELM) 2014 International joint conference on neural networks 91.8%
33 Support vector machine (SVM) IEEE transactions on pattern analysis and machine intelligence 76.1%
36 Inductive rule based (IR) Biomed. Signal Process. Control 96.7%
38 Support vector machine (SVM) Biomedical signal processing and control 79.6%
49 Support vector machine (SVM) IEEE access 89.96%
50 Artificial neural network (ANN) IEEE transactions on intelligent transportation systems 96.5% ~ 99.5%
53 Discriminative graph regularized extreme learning machine (GELM) 2016 international joint conference on neural networks (IJCNN) 80.80%
54 Artificial neural network (ANN) 2017 8th International IEEE/EMBS conference on neural engineering (NER) 85.0%
55 Fuzzy and neuro fuzzy based (NF) IEEE transactions on biomedical engineering 91.5%
56 kernel principal component analysis (KPCA) and support vector machine (SVM) Expert Syst. Appl 90.04%
58 Artificial neural network (ANN) Medical and biological engineering and computing 93.75%
59 Support vector machine (SVM) IEEE transactions on biomedical engineering 95% ~ 97%
64 Artificial neural network (ANN) IEEE transactions on neural systems and rehabilitation engineering 85.0%
65 Inductive rule based (IR) IEEE access 74%
66 Clustering (CL) Automation in construction 93.0%
67 Mixed-effect ordered logit model Analytic methods in accident research 62.84%
69 Adaptation regularization based transfer learning (ARTL) Expert systems with applications 94.44%
72 Support vector machine (SVM) Expert systems with applications 93.0%
75 Fuzzy support vector machine (FSVM) Artificial intelligence in medicine 90.12 ~ 92.20%
76 Artificial neural network (ANN) and Support Vector Machine (SVM) Expert systems with applications 94.44%
77 Bayes classifier (BL) Biomedical signal processing and control 92.0%
80 Extremely learning machine (ELM) Cognitive systems research 95.71%