Preliminary results of a user identification using haptic information

Abstract

In this paper we explore the identification of handwritten signatures with haptic information. We enhance our previous work by considering two methods: 1) we filter the incoming haptics information in the handwritten signature, and 2) we further reevaluate the highly probable candidates to enhance the identification success rate. In this paper we reach an identification success rate of 87%.