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A novel blink detection method based on pupillometry noise
Ronen Hershman
, Avishai Henik
,
Noga Cohen
Research output
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Contribution to journal
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Article
›
peer-review
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Dive into the research topics of 'A novel blink detection method based on pupillometry noise'. Together they form a unique fingerprint.
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Keyphrases
Detection Method
100%
Pupillometry
100%
Pupil Size
100%
Blink Detection
100%
Blinking
100%
Eyelid
80%
Eye Tracking
40%
Detection Accuracy
20%
Eye Tracker
20%
Freely Available
20%
Cognitive Load
20%
Detection Algorithm
20%
Measurement Error
20%
Large Amount of Data
20%
Data Loss
20%
Eye Blink
20%
Sharp Change
20%
Fluctuation Pattern
20%
Cognitive Arousal
20%
Missing Samples
20%
Size Analysis
20%
Fluctuating Noise
20%
Algorithm-based
20%
Human Raters
20%
Sample Time
20%
Artificial Effect
20%
Computer Science
Detection Method
100%
Detection Algorithm
50%
Measurement Error
50%
Engineering
Pupil Size
100%
Size Analysis
20%
Detection Algorithm
20%
Measurement Error
20%
Sample Time
20%
Output File
20%