Attentive deskwork support system

Yusuke Tamura, Masao Sugi, Tamio Arai, Jun Ota

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)758-769
ページ数12
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
14
7
DOI
出版ステータスPublished - 2010 11
外部発表はい

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • 人工知能

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