作者: William Hutama , Peng Song , Chi-Wing Fu , Wooi Boon Goh
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摘要: While very large collaborative surfaces are already being widely employed to facilitate concurrent interactions with multiple users, they involve no personalization in the touch interactions. Augmenting them identify smart-phones can enable interesting co-located communal applications context-based personalized and information exchange amongst users' portable devices shared wall display. This paper proposes a novel matching technique, called tilt correlation, which employs built-in sensor that make two-point contacts on common multi-touch Experimental investigations suggest resultant error rate is relatively low; addition, we also propose quantitative measure, Bourne Identity Index allow application designers determine reliability of each device identification.