TY - CONF

T1 - Show Your Hands: A Vision-Based Approach to User Identification for Interactive Surfaces

AU - Schmidt, Dominik

AU - Gellersen, Hans

PY - 2009/11/23

Y1 - 2009/11/23

N2 - 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.

AB - 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.

KW - cs_eprint_id

KW - 2219 cs_uid

KW - 395

M3 - Poster

T2 - Interactive Tabletops and Surfaces

Y2 - 23 November 2009 through 25 November 2009

ER -