Title
Face and gesture recognition using subspace method for human-robot interaction
Abstract
This paper presents a vision-based face and gesture recognition system for human-robot interaction. By using subspace method, face and predefined hand poses are detected from the three largest skin-like regions that are segmented using YIQ color representation system. In this subspace method we consider separate eigenspaces for each class or pose. Gesture is recognized using the rule-based approach whenever the combination of three skin-like regions at a particular image frame matches with the predefined gesture. These gesture commands are sent to robot through TCP/IP network for human-robot interaction. Using subspace method pose invariant face recognition has also been addressed. The effectiveness of this method has been demonstrated by interacting with an entertainment robot named AIBO.
Year
DOI
Venue
2004
10.1007/978-3-540-30541-5_46
PCM (1)
Keywords
Field
DocType
largest skin-like region,entertainment robot,gesture command,yiq color representation system,subspace method,human-robot interaction,predefined gesture,vision-based face,invariant face recognition,gesture recognition system,human robot interaction,rule based,face recognition,gesture recognition
Facial recognition system,Computer vision,Pattern recognition,Subspace topology,Dynamic time warping,Computer science,Gesture,Gesture recognition,Entertainment robot,AIBO,Artificial intelligence,Human–robot interaction
Conference
Volume
ISSN
ISBN
3331
0302-9743
3-540-23974-X
Citations 
PageRank 
References 
4
0.51
8
Authors
6
Name
Order
Citations
PageRank
Md. Hasanuzzaman1498.75
Tao Zhang2422100.57
V. Ampornaramveth3432.50
M. A. Bhuiyan4151.79
Yoshiaki Shirai51300631.73
Haruki Ueno612918.02