Two proposals:
- Time between strokes
- Sound
Keystroke dynamics, also called typing rhytms or typing recognition, analyses the way a person types. Users enroll by typing the same word or words a number of times. Verification is based on the concept that the rhythm with which a person types is distinctive.
La reconnaissance par la frappe clavier prend analyse la manière de frapper un texte au clavier. L'utilisateur s'enregistre en tapant les mêmes mots un certain de nombre de fois. La vérification se base sur le rhytme de frappe qui est particulier pour chaque personne.
Statistics of timings between two persons show the difference
Les statistiques des temps de frappe entre deux personnes montre les différences
(2013) Another way to do is to use keystoke sounds: see the homepage of Prof. Liu
- Biometric Authentication via Keystroke Sound (Roth, Liu, Ross and Metaxas)
Some articles related to keystroke dynamics:
- Keystroke dynamics as a biometric for authentication (Monrose, Rubin)
- Keystroke dynamics (Ilonen) Lappeenranta University of Technology
- Biopassword White paper
US patents / brevet US: 4621344, 4805222, 4962530, 4998279, 5056141
Mandrake
(2015) Lockheed Martin has recently tested swipe recognition technology that allow the identification of smartphone users based on how they type on their mobile devices (via Humanity+media)
Commercial products
- BioPassword (BioNet Systems / Net Nanny): Originally developped by SRI (Standford Research Institute) between 1979 and 1985.
- Aegis Secure Login (Inroad Solutions)
- (2019) TypingDNA