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Bachelor thesis:Gesture Recognition for Mobile Phone Unlocking ( PDF )
Author:Sixta Tomáš
Supervisor:Mgr. Jan Šochman Ph.D.
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Abstract:People use lockscreens to secure their mobile devices. However, many users aren’t satisfied with currently available lockscreens - they either provide too little security or require too much effort to be unlocked. In this thesis, we analyze available lockscreens and summarize their weaknesses. Based on that analysis, a list of requirements for a ”perfect” lockscreen is presented. Following the requirements, we design Tap lock - lockscreen that is unlocked by tapping a unique sequence, which is based on a melody in user’s head. We describe a relation between Tap lock and other gesture recognition problems and how it can be resolved using hidden Markov models. Extensive testing is then performed that shows that Tap lock can be used in everyday use if simple recommendations on how to choose a proper sequence are followed. Tap lock is easy to be unlocked for the user, but difficult to hack for a potential thief. It is also extremely resistant to brute-force attacks. During the summer 2014, we plan to publish Tap lock on Google Play in cooperation with avast! antivirus company.
Submited:May 2014
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