Rule-based learning for eye movement type detection

Keyphrases

• Eye Movements 100%
• Type Detection 100%
• Rule Learning 100%
• Eye Pattern 100%
• Sampling Rate 66%
• Adaptation 33%
• Gaze Data 33%
• Human Perception 33%
• Human Intention 33%
• New Movement 33%
• Saccades 33%
• Smooth Pursuit 33%
• Publicly Available Dataset 33%
• Human Cognitive 33%
• Machine Learning Approach 33%
• Rate Error 33%
• Existing Algorithms 33%
• Error-free 33%
• Detection Error 33%
• Cognitive State 33%
• Eye Recognition 33%
• Pupil Detection 33%
• Microsaccades 33%
• Rule-based Machine Learning 33%

Computer Science

• Sampling Rate 100%
• Machine Learning-Based Approach 50%
• Human Perception 50%
• Simulated Data 50%
• Error Detection 50%

Neuroscience

• Eye Movement 100%
• Saccade 20%
• Smooth Pursuit 20%
• Cognitive State 20%
• Microsaccade 20%