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2006
IEEE

Three-Layer Model for Generation and Recognition of Attention-Drawing Behavior

9 years 5 months ago
Three-Layer Model for Generation and Recognition of Attention-Drawing Behavior
- This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people’s attention-drawing behavior as well as to perform attention-drawing behavior to people. It consists of three layers: the PSM (Pointing Space Model), the RTM (Reference Term Model), and the OPM (Object Property Model). The PSM associates the pointing gesture with a reference term, the RTM associates positional relationships with a reference term, and the OPM associates other supplemental verbal cues with a reference term. We implemented the model in a humanoid robot, Robovie, and verified its effectiveness through an experiment.
Osamu Sugiyama, Takayuki Kanda, Michita Imai, Hiro
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IROS
Authors Osamu Sugiyama, Takayuki Kanda, Michita Imai, Hiroshi Ishiguro, Norihiro Hagita
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