Name
Abstract | ||
|---|---|---|
This paper presents a gesture-based human robot interaction system. Gestures are recognized by segmenting the three largest components based on skin color segmentation and PCA based pattern-matching techniques. Gesture commands are generated and issued - whenever the combinations of three skin-like regions at a particular image frame match with the predefined gesture. These gesture commands are sent to a robot through a frame-based software platform and robot acts in accordance with the predefined task for those gestures. In this paper a method has also been proposed to detect left hand and right hand relative to face position, as well as, to detect the face and locate its position. The effectiveness of this method has been demonstrated over the interaction with a pet robot named AIBO for eight operations. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICSMC.2004.1400770 | Systems, Man and Cybernetics, 2004 IEEE International Conference |
Keywords | Field | DocType |
face recognition,gesture recognition,image matching,image segmentation,man-machine systems,principal component analysis,robot vision,service robots,computer vision,face detection,frame-based software platform,gesture-based human robot interaction system,pattern-matching techniques,principal component analysis,skin color segmentation | Facial recognition system,Computer vision,Computer science,Gesture,Gesture recognition,Image segmentation,Speech recognition,AIBO,Software,Artificial intelligence,Robot,Human–robot interaction | Conference |
Volume | ISSN | ISBN |
3 | 1062-922X | 0-7803-8566-7 |
Citations | PageRank | References |
8 | 0.74 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Hasanuzzaman | 1 | 13 | 2.63 |
| Tao Zhang | 2 | 422 | 100.57 |
| Ampornaramveth, V. | 3 | 9 | 1.10 |
| Kiatisevi, P. | 4 | 8 | 0.74 |