Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu


  • Eira Friström
  • Elias Lius
  • Niki Ulmanen
  • Pekka Hietala
  • Pauliina Kärkkäinen
  • Tommi Mäkinen
  • Stephan Sigg
  • Rainhard Findling


  • Aalto University


Contemporary personal mobile devices support a variety of authentication approaches, featuring different levels of security and usability. With cameras embedded in smart glasses, seamless, hands-free mobile authentication based on gaze is possible. Gaze authentication relies on knowledge as a secret, and gaze passwords are composed from a series of gaze points or gaze gestures. This paper investigates the concept of free-form mobile gaze passwords. Instead of relying on gaze gestures or points, free-form gaze gestures exploit the trajectory of the gaze over time. We collect and investigate a set of 29 different free-form gaze passwords from 19 subjects. In addition, the practical security of the approach is investigated in a study with 6 attackers observing eye movements during password input to subsequently perform spoofing. Our investigation indicates that most free-form gaze passwords can be expressed as
a set of common geometrical shapes. Further, our free-form gaze authentication yields a true positive rate of 81% and a false positive rate with other gaze passwords of 12%, while targeted observation and spoofing is successful in 17.5% of all cases. Our usability study reveals that further work on the usability of gaze input is required as subjects reported that they felt uncomfortable creating and performing free-form passwords.


Otsikko17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
TilaHyväksytty/In press - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Advances in Mobile Computing and Multimedia - Munich, Saksa
Kesto: 2 joulukuuta 20194 joulukuuta 2019
Konferenssinumero: 17


ConferenceInternational Conference on Advances in Mobile Computing and Multimedia

ID: 37133586