Multimodal authentication approach for visually impaired in smartphone platforms

With the prolific increase in utility of smartphones across the spectrum of users, universal accessibility becomes mandatory without compromising security. This paper proposes an approach to authenticate users with a multimodal mechanism which is better suitedfor visually impaired. The model incorporates text medium in the form of braille, kinetic medium in the form of orientation and the keystroke dynamics through pressure gradient sensors. The proposed model is designed to reduce the vulnerability against attacks such as aural eavesdrop, shoulder surfing. The cross-platform compatibility is one of the major advantages of the proposed model. The adoptability of the proposed model among the visually impaired users is validated through focused group user feedback analysis.