HRIDemon: A framework for recognition of human location, identity and behavior in human-robot interaction

Author

Dohyung Kim ; Jaeyeon Lee ; Youngwoo Yoon ; Woo-han Yun ; Ho-sub Yoon ; Jaehong Kim

Author_Institution

Cognition Technol. Res. Team, Electron. & Telecommun. Res. Inst., Daejeon, South Korea

fYear

2012

fDate

26-28 Nov. 2012

Firstpage

533

Lastpage

534

Abstract

This paper proposes a HRI framework for recognizing users´ locations, identities and behaviors while they are interacting with a robot. The framework including several HRI individual components collects evidences constantly, combines them effectively and creates more reliable information on users to response to the needs of a HRI service application. The framework helps developers of the applications get information on users easily without concerns about making the best use of individual HRI components.

Keywords

data mining; human-robot interaction; intelligent robots; object detection; object tracking; robot vision; HRI service application; HRIDemon; evidence collection; human behavior recognition; human detection; human identity recognition; human localization; human location recognition; human tracking; human-robot interaction; user information; Face; Face recognition; Human-robot interaction; Humans; Reliability; Robot sensing systems; Behavior recognition; HRIDemon; Human Robot Interaction (HRI); Human identification; Human localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on

Conference_Location

Daejeon

Print_ISBN

978-1-4673-3111-1

Electronic_ISBN

978-1-4673-3110-4

Type

conf

DOI

10.1109/URAI.2012.6463064

Filename

6463064