Using IMUs to Identify Supervisors on Touch Devices

Abstract : In addition to their popularity as personal devices, tablets, are becoming increasingly prevalent in work and public settings. In many of these application domains a supervisor user – such as the teacher in a classroom – oversees the function of one or more devices. Access to supervisory functions is typically controlled through the use of a passcode, but experience shows that keeping this passcode secret can be problematic. We introduce SwipeID, a method of identifying supervisor users across a set of touch-based devices by correlating data from a wrist-worn inertial measurement unit (IMU) and a corresponding touchscreen interaction. This approach naturally supports access at the time and point of contact and does not require any additional hardware on the client devices. We describe the design of our system and the challenge-response protocols we have considered. We then present an evaluation study to demonstrate feasibility. Finally we highlight the potential for our scheme to extend to different application domains and input devices.
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Communication dans un congrès
15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9297 (Part II), pp.565-583, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22668-2_44〉
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Ahmed Kharrufa, James Nicholson, Paul Dunphy, Steve Hodges, Pam Briggs, et al.. Using IMUs to Identify Supervisors on Touch Devices. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9297 (Part II), pp.565-583, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22668-2_44〉. 〈hal-01599873〉

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