Using IMUs to identify supervisors on touch devices

Ahmed Kharrufa, James Nicholson, Paul Dunphy, Steve Hodges, Pamela Briggs, Patrick Olivier

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2015
EditorsJulio Abascal, Simone Barbosa, Mirko Fetter, Tom Gross, Philippe Palanque, Marco Winckler
Place of PublicationLondon
PublisherSpringer
Pages565-583
Volume9297
ISBN (Print)9783319226675
DOIs
Publication statusPublished - 30 Aug 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Electronic)0302-9743

Fingerprint Dive into the research topics of 'Using IMUs to identify supervisors on touch devices'. Together they form a unique fingerprint.

Cite this