Name
Abstract | ||
|---|---|---|
We developed a robust real time hand gesture based interaction system to effectively communicate with a mobile robot which can operate in an outdoor environment. The system enables the user to operate a mobile robot using hand gesture based commands. In particular the system offers direct on site interaction providing better perception of environment to the user. To overcome the illumination challenges in outdoors, the system operates on depth images. Processed depth images are given as input to a convolutional neural network which is trained to detect static hand gestures. The system is evaluated in real world experiments on a mobile robot to show the operational efficiency in outdoor environment. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2157689.2157743 | HRI |
Keywords | Field | DocType |
real time interaction,static hand gesture,site interaction,interaction system,mobile robot,real world experiment,processed depth image,outdoor environment,depth image,hand gesture,robust real time hand,image processing,human robot interaction,lighting,gesture recognition,neural network,neural nets,tracking,real time systems,neural networks,mobile robots,real time,gesture detection | Computer science,Gesture,Convolutional neural network,Gesture recognition,Human–computer interaction,Artificial intelligence,Artificial neural network,Operational efficiency,Human–robot interaction,Computer vision,Simulation,Perception,Mobile robot | Conference |
ISSN | Citations | PageRank |
2167-2121 | 9 | 0.69 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kishore Reddy Konda | 1 | 428 | 18.22 |
| Achim Königs | 2 | 30 | 3.20 |
| Hannes Schulz | 3 | 55 | 10.82 |
| Dirk Schulz | 4 | 1701 | 236.54 |