Automatic Identification of Participants in Haptic Systems
M. Orozco, Yednek Asfaw, Andy Adler, Shervin Shirmohammadi, Abdulmotaleb El Saddik · 2006
Biometric systems identify of users based on behavioral or physiological characteristics. This paper explores the feasibility of automatically identifying participants in haptic systems. Such a biometric system would lead to important and interesting applications such as continuous authentication in tele-operation. In order to test this feasibility, we designed a haptic system in which position, velocity, force and torque data from the tool was continuously measured and stored. Using this system, users navigated a simple maze where the user generates a continuous path from start to finish. Subsequently, several algorithms were developed to extract characteristic biometric features from the measured data. A 78.8% probability of verification was observed for data from trained users. Overall, the paper suggests the possibility of extracting identity information in a real world haptic system