A method for distinguishing between involuntary and voluntary blinks based on graphene sensor
Author:
Affiliation:
1. Southeast University,School of Mechanical Engineering,Nanjing,China
2. Avic Xi’an Flight Automatic Control Research Institute,National Key Laboratory of Science and Technology on Aircraft Control,Xi’an,China
Funder
National Natural Science Foundation of China
Southeast University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9869420/9869438/09869506.pdf?arnumber=9869506
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1. Eye blink detection based on motion vectors analysis
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3. Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera
4. The EMG signal research of orbicularis oculi muscle of rabbit in different sites and different moving conditions;geng;Clinical and Experimental Medical Journal,2017
5. BlinkWrite: efficient text entry using eye blinks
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