Abstract
We propose an attentive deskwork support system that quickly delivers required objects to people who work at desks. To meet this goal, we propose methods to understand a user's request for support. To know the existence of the user request, the system uses the characteristics of the user's hand and eye movements and detects hand-reaching movements. The system understands the content of the user's request by integrating sensory and contextual information using a probabilistic model. Finally, the system determines a point of delivery by predicting a user's hand movement and delivers required objects by using self-moving trays. The experiments are conducted to evaluate the usefulness of the system proposed here.
Original language | English |
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Pages (from-to) | 758-769 |
Number of pages | 12 |
Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
Volume | 14 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2010 Nov |
Externally published | Yes |
Keywords
- Attentive user interfaces
- Deskwork
- Human-robot interaction
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Artificial Intelligence