DocumentCode :
3171595
Title :
Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots
Author :
Keun-Chang Kwak ; Do-Hyung Kim ; Dae-Ha Lee ; Young-Jo Cho
fYear :
2006
fDate :
Oct. 2006
Firstpage :
1
Lastpage :
1
Abstract :
In this video, we present a scenario for developing vision-based Human-Robot Interaction (vHRI) components for Ubiquitous Robot Companion (URC) Intelligent Service Robots, which exploit strong Information Technology (IT) infrastructure. Here the URC means that it will provide the necessary services at any time and place to meet the user´s requirements. Thus, it combines the network function with the current concept of a robot in order to enhance mobility and human interface. The vHRI components used in this video consist of caller identification, face recognition/verification, and gesture recognition. Firstly we perform face verification and recognition for the imposter and a member of family from face images of two users, respectively. After that, we use gesture recognition to provide the selection of TV channels under noise or long-distance environments. Finally, we demonstrate the usefulness through vision-based scenario shown from video. The robot platform used in this video is WEVER, which is a URC intelligent service robot developed at Intelligent Robot Research Division in Electronics and Telecommunication Research Institute (ETRI).
Keywords :
Face recognition; Human robot interaction; Image recognition; Information technology; Intelligent robots; Mobile robots; Robot vision systems; Service robots; TV; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
1-4244-0259-X
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282205
Filename :
4058354
Link To Document :
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