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

Author

Sugiyama, Osamu ; Kanda, Takayuki ; Imai, Michita ; Ishiguro, Hiroshi ; Hagita, Norihiro

fYear

2006

fDate

9-15 Oct. 2006

Firstpage

5843

Lastpage

5850

Abstract

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

Keywords

gesture recognition; humanoid robots; man-machine systems; Robovie; attention-drawing behavior; human robot interface; humanoid robot; object property model; pointing gesture; pointing space model; reference term model; Cities and towns; Computer interfaces; Human robot interaction; Humanoid robots; Intelligent robots; Knowledge engineering; Laboratories; Orbital robotics; Pediatrics; Psychology; Attention Drawing; Deictic Gestures; Human Robot Interaction; Human Robot Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0258-1

Electronic_ISBN

1-4244-0259-X

Type

conf

DOI

10.1109/IROS.2006.282399

Filename

4058397