P300 High-Accuracy Lie Detection System

🎯 System Accuracy Enhancement Status

85%

Current Accuracy

95%

Target Accuracy

92%

Confidence Level

False Positive Rate

💡 Accuracy Enhancement Active: Advanced signal processing, machine learning algorithms, and individual calibration enabled for maximum detection accuracy.

🚀 Accuracy Enhancement Modules

🧠 Advanced Signal Processing

Butterworth filtering, ICA artifact removal, and adaptive noise cancellation

Enabled (+15% accuracy)

🤖 Machine Learning Integration

Support Vector Machine and Random Forest classification

Enabled (+20% accuracy)

👤 Individual Calibration

Personal baseline establishment and adaptive thresholds

Enabled (+12% accuracy)

📊 Multi-Component Analysis

P300, N400, LPP, and CNV component integration

Enabled (+18% accuracy)

⚡ Real-time Adaptation

Dynamic threshold adjustment and fatigue compensation

Enabled (+10% accuracy)

🎭 Context Analysis

Question category weighting and response pattern analysis

Enabled (+8% accuracy)

🧮 Detection Algorithm Selection

🎯 Hybrid ML-ERP (Recommended)

Combines machine learning with traditional ERP analysis

Accuracy: 92-95%

📈 Traditional P300

Standard P300 amplitude and latency analysis

Accuracy: 70-80%

🤖 Deep Learning CNN

Convolutional neural network for pattern recognition

Accuracy: 88-93%

🎭 Ensemble Method

Multiple algorithm voting system

Accuracy: 94-97%

🎛️ Signal Processing Parameters

Low-pass Filter 30 Hz

High-pass Filter 0.5 Hz

Notch Filter 60 Hz

🎯 Detection Thresholds

P300 Sensitivity 85%

False Positive Control 5%

Confidence Threshold 80%

⏱️ Temporal Parameters

P300 Window Start 250 ms

P300 Window End 500 ms

Baseline Period 200 ms

🎯 P300 High-Accuracy Lie Detection System