Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - HandsDown: hand-contour-based user identification for interactive surfaces
AU - Schmidt, Dominik
AU - Chong, Ming Ki
AU - Gellersen, Hans
PY - 2010/10/16
Y1 - 2010/10/16
N2 - HandsDown is a novel technique for user identification on interactive surfaces. It enables users to access personal data on a shared surface, to associate objects with their identity, and to fluidly customize appearance, content, or functionality of the user interface. To identify, users put down their hand flat on the surface. HandsDown is based on hand contour analysis; neither user instrumentation nor external devices are required for identification. Characteristic features of the hand are initially extracted from images captured by the surface’s camera system and then classified using Support Vector Machines (SVM). We present a proof-of-concept implementation and show results of our evaluation which indicates the technique’s robustness for user identification within small groups. Additionally, we introduce a set of interaction techniques to illustrate how HandsDown can improve the user experience, and we discuss the design space of such interactions.
AB - HandsDown is a novel technique for user identification on interactive surfaces. It enables users to access personal data on a shared surface, to associate objects with their identity, and to fluidly customize appearance, content, or functionality of the user interface. To identify, users put down their hand flat on the surface. HandsDown is based on hand contour analysis; neither user instrumentation nor external devices are required for identification. Characteristic features of the hand are initially extracted from images captured by the surface’s camera system and then classified using Support Vector Machines (SVM). We present a proof-of-concept implementation and show results of our evaluation which indicates the technique’s robustness for user identification within small groups. Additionally, we introduce a set of interaction techniques to illustrate how HandsDown can improve the user experience, and we discuss the design space of such interactions.
U2 - 10.1145/1868914.1868964
DO - 10.1145/1868914.1868964
M3 - Conference contribution/Paper
SN - 978-1-60558-934-3
SP - 432
EP - 441
BT - NordiCHI '10 Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
PB - ACM
CY - New York
T2 - NordiCHI 2010
Y2 - 16 October 2010 through 20 October 2010
ER -