FabricID
Alexandra Voit, Stefan Schneegaß · 2017
Wearable devices like smart watches or eye-wear computers are storing a myriad of personal information. Today, wearable devices support input techniques such as speech and gesture input. These user input methods however, are not well suited for authentication. With the development of smart textiles the design space for interaction for small smart devices can be increased. In this paper, we present the concept of FabricID a system which identifies users' hand-prints with a smart textile integrated into the sleeve of the user. To evaluate our concept, we recorded hand-prints of 16 users. We classified all recorded hand-prints and received an identification rate of 82.5% for all 16 users and on average 93.62% for groups of 4 users.