We have proposed a system called Attentive Workbench (AWB) that is designed to support desktop work. AWB is the system which estimates a worker's condition using some sensors and assists a worker using movable trays and projectors from both physical and informational viewpoints. A method for estimating an AWB user's intention is proposed and presented herein. An AWB user expresses his/her intention by pointing a finger at a necessary tray. For estimating which tray a user needs, the system uses Dynamic Bayesian Network to integrate the sensor data obtained from user's pointing gestures and user's past action sequences. A description of the experimental results will demonstrate the usefulness of the method proposed here.
|Number of pages||6|
|Publication status||Published - 2004 Dec 1|
|Event||RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication - Okayama, Japan|
Duration: 2004 Sep 20 → 2004 Sep 22
|Conference||RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication|
|Period||04/9/20 → 04/9/22|
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