Title
Knowledge-based person-centric human-robot interaction using facial and hand gestures
Abstract
This paper presents a knowledge-based person-centric human-robot interaction system using facial and hand gestures. In the proposed method, face detection and person identification are first made. With the knowledge of the known user face and hand poses are then classified from the later image frame by the subspace method and the gestures are finally recognized. The rules for interpreting the gestures are selected according to each specific user recognized by the facial image. The user's name and gesture commands are sent to the robot through a Software Platform for Agent and Knowledge Management (SPAK) to implement person-centric human-robot interaction. The effectiveness of this method has been demonstrated by interacting with a humanoid robot Robovie.
Year
DOI
Venue
2005
10.1109/ICSMC.2005.1571462
Systems, Man and Cybernetics, 2005 IEEE International Conference
Keywords
Field
DocType
gesture recognition,human computer interaction,humanoid robots,image classification,software agents,Robovie humanoid robot,SPAK,face detection,facial gesture,hand gesture,knowledge-based person-centric human-robot interaction,person identification,software agents,subspace method,Gesture,SPAK,Subspace method,person-centric human-robot interaction
Computer vision,Gesture,Computer science,Gesture recognition,Software agent,Software,Artificial intelligence,Face detection,Robot,Human–robot interaction,Humanoid robot
Conference
Volume
ISSN
ISBN
3
1062-922X
0-7803-9298-1
Citations 
PageRank 
References 
1
0.36
6
Authors
4
Name
Order
Citations
PageRank
M. Hasanuzzaman1132.63
Tao Zhang2422100.57
Ampornaramveth, V.391.10
H. Gotoda4291.41