Mobile-based Kernel-Fuzzy-C-Means-Wavelet for Driver Fatigue Prediction with Cloud Computing

Keyphrases

• Photoplethysmography 100%
• Kernel Fuzzy C-means 100%
• Wavelet 100%
• Cloud Computing 100%
• Mobile-based 100%
• Driver Fatigue Detection 100%
• Prediction Model 50%
• Prediction Accuracy 50%
• Road Traffic Accidents 50%
• Driver Attention 50%
• Smartphone Device 50%
• Rule Extraction 50%
• If-then Rules 50%
• Low Arousal 50%
• Prediction Method 50%
• Fatigue Index 50%
• Cloud Server 50%
• Level Analysis 50%
• Onset Detection 50%
• Remote Monitoring 50%
• Sensing Data 50%
• Driving Environment 50%
• Artifact Removal 50%
• Peak Detection 50%
• Fatigue Life Prediction 50%
• Extremely Low Frequency 50%
• Fatigue Monitoring System 50%
• Wavelet Spectrum Analysis 50%
• Non-obstructive 50%
• Wavelet Coefficients 50%
• Electrocardiographic Artifact 50%
• Hierarchical Prediction 50%
• Adaptive Thresholding 50%

Computer Science

• Experimental Result 100%
• Level Analysis 100%
• Prediction Accuracy 100%
• Collected Data 100%
• Prediction Model 100%
• Smartphone Device 100%
• Monitoring System 100%
• Rule Extraction 100%
• Cloud Computing 100%
• Analysed Data 100%
• Remote Monitoring 100%
• Wavelet Coefficient 100%