User authentication through biometric sensors and decision fusion

Keyphrases

• Decision Fusion 100%
• Sensor Fusion 100%
• User Authentication 100%
• Biometric Sensors 100%
• Desktop Computer 66%
• False Acceptance Rate 66%
• Local Detectors 66%
• Fusion Center 66%
• Keyboard 66%
• Receiver Operating Characteristic 66%
• Laptop Computer 66%
• Error Rate 33%
• User-centric 33%
• False Alarm Rate 33%
• False Alarm 33%
• Detection Scheme 33%
• Neyman-Pearson Criterion 33%
• Fusion Architecture 33%
• Binary Choice 33%
• Detection Probability 33%
• Operating Point 33%
• Binary Classification 33%
• Global Decision 33%
• Continuous Tracking 33%
• Point-based 33%
• Tolerance Limits 33%
• Two-input 33%
• Behavioral Biometrics 33%
• Office Environment 33%
• Local Sensor 33%
• Input Device 33%
• Dynamic Movement 33%
• Mouse Behavior 33%
• Keystroke Dynamics 33%
• Global Error 33%
• Office Workers 33%
• Naïve Bayes Classifier 33%

Computer Science

• Biometrics 100%
• User Authentication 100%
• Keyboard 100%
• Desktop Computer 66%
• Laptop Computer 66%
• Authentication 33%
• False Accept Rate 33%
• Binary Decision 33%
• Bayes Classifier 33%
• Operating Point 33%
• Office Environment 33%
• Input Device 33%
• Binary Classification 33%
• Binary Detector 33%
• Tolerance Level 33%
• False Reject Rate 33%
• Feature Individual 33%

Neuroscience

• Feeding Behavior 100%