vUBM: A variational universal background model for EEG-based person authentication

Keyphrases

• Person Authentication 100%
• Universal Background Model 100%
• Variational 100%
• Mental Health 50%
• Health Condition 50%
• Biometrics 50%
• Signal-to-noise Ratio 50%
• Complex Data 50%
• EEG Signals 50%
• Sensor Failure 50%
• Complex Variations 50%
• Source Signal 50%
• Extrinsic Factors 50%
• Intrinsic Factors 50%
• Condition Factor 50%
• Latent Space 50%
• Authentication Algorithm 50%
• Electrode Displacement 50%
• Latent Representation 50%
• Activity Condition 50%
• Recording Device 50%
• User Movement 50%
• Mood Condition 50%
• Variational Inference 50%
• Inference Framework 50%
• Mental Activity 50%
• Variation Factor 50%
• Small Signal 50%

Computer Science

• Authentication 100%
• Background Model 100%
• Biometrics 33%
• Noise-to-Signal Ratio 33%
• Health Condition 33%
• Recording Device 33%