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Show Your Hands: A Vision-Based Approach to User Identification for Interactive Surfaces

Research output: Contribution to conferencePoster

Published

Publication date23/11/2009
Number of pages0
Original languageEnglish

Conference

ConferenceInteractive Tabletops and Surfaces
CityBanff, Canada
Period23/11/0925/11/09

Abstract

User identification opens up new interaction possibilities on interactive surfaces. Yet many current multi-touch systems only detect isolated touches and cannot identify users. This paper presents a low-cost, biometric method for user identification for vision-based interactive surfaces. To identify users, we extract characteristic contour features from a flat hand posture and use Support Vector Machines (SVM) for classification. Our evaluation shows the method’s robustness together with high true and low false positive rates of 96% respectively 0.5%. We further outline possibilities to integrate this method with surface interaction techniques, taking into account that users have to perform distinctive hand postures to afford identification.