Smart glasses allow for gaze gesture passwords as a
		  hands-free form of mobile authentication. However, pupil
		  movements for password input are easily observed by
		  attackers, who thereby can derive the password. In this
		  paper we investigate closed-eye gaze gesture passwords with
		  EOG sensors in smart glasses. We propose an approach to
		  detect and recognize closed-eye gaze gestures, together
		  with a 7 and 9 character gaze gesture alphabet. Our
		  evaluation indicates good gaze gesture detection rates.
		  However, recognition is challenging specifically for
		  vertical eye movements with 71.2%-86.5% accuracy and
		  better results for opened than closed eyes. We further find
		  that closed-eye gaze gesture passwords are difficult to
		  attack from observations with 0% success rate in our
		  evaluation, while attacks on open eye passwords succeed
		  with 61%. This indicates that closed-eye gaze gesture
		  passwords protect the authentication secret significantly
		  better than their open eye counterparts.<br>
<br><pre>@inproceedings{Findling_19_HidemyGaze,
  author = {Findling, Rainhard Dieter and Quddus, Tahmid and Sigg, Stephan},
  booktitle = {Proc. {MoMM} 2019: 17th International Conference on
  		  Advances in Mobile Computing and Multimedia},
  title = {Hide my Gaze with {EOG}! {T}owards Closed-Eye Gaze Gesture
  		  Passwords that Resist Observation-Attacks with
  		  Electrooculography in Smart Glasses},
  year = {2019},
  month = dec,
  number = { {In print}},
  publisher = {ACM}
}
</pre>