Name
Title | ||
|---|---|---|
Human hand detection using evolutionary computation for gestures recognition of a partner robot |
Abstract | ||
|---|---|---|
This paper proposes a human hand detection method for gesture recognition used for communication of a robot with a human. A human hand motion can be recognized as a different meaning according to a situation in the communication between the human and robot. We propose a steady-state genetic algorithm for extracting a time series of human hand position. Finally, we discuss the effectiveness of the proposed method through several experimental results. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893011_87 | KES (3) |
Keywords | Field | DocType |
different meaning,gestures recognition,time series,human hand motion,evolutionary computation,partner robot,steady-state genetic algorithm,human hand position,human hand detection method,gesture recognition,evolutionary computing | Social robot,Computer vision,Evolutionary algorithm,Computer science,Gesture,Gesture recognition,Evolutionary computation,Artificial intelligence,Robot,Genetic algorithm,Robotics,Distributed computing | Conference |
Volume | ISSN | ISBN |
4253 | 0302-9743 | 3-540-46542-1 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Setsuo Hashimoto | 1 | 3 | 1.14 |
| Naoyuki Kubota | 2 | 740 | 144.39 |
| Fumio Kojima | 3 | 77 | 18.33 |