摘要: HandsDown is a novel technique for user identification on interactive surfaces. It enables users to access personal data shared surface, associate objects with their identity, and fluidly customize appearance, content, or functionality of the interface. To identify, put down hand flat surface. based contour analysis; neither instrumentation nor external devices are required identification. Characteristic features initially extracted from images captured by surface's camera system then classified using Support Vector Machines (SVM).We present proof-of-concept implementation show results our evaluation which indicates technique's robustness within small groups. Additionally, we introduce set interaction techniques illustrate how can improve experience, discuss design space such interactions.
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