Abstract | ||
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In this paper a method for the automatic command of three degrees of freedom of a robot using mouth gestures is presented. The method uses a normalized version of the a component from the CIELAB color space in order to detect the mouth region and to segment the mouth structures. A set of features extracted from the segmented regions serve to model a set of activation signals, who control the transitions between states in a state machine that translates gestures into actions. Results and conclusions of the behavior of the system are presented. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/ROSE.2008.4669177 | Ottawa, ON |
Keywords | Field | DocType |
biomedical optical imaging,endoscopes,feature extraction,gesture recognition,image colour analysis,image segmentation,medical image processing,medical robotics,surgery,CIELAB color space,activation signal,automatic command,degree of freedom,feature extraction,laparoscope camera command,mouth gesture,robotic surgery,segmented region,state machine,Robot command,mouth detection,mouth segmentation | Computer vision,Degrees of freedom (statistics),Color space,Gesture,Gesture recognition,Feature extraction,Image segmentation,Finite-state machine,Artificial intelligence,Engineering,Robot | Conference |
ISBN | Citations | PageRank |
978-1-4244-2595-2 | 1 | 0.39 |
References | Authors | |
13 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Juan B. Gómez | 1 | 1 | 0.39 |
Flavio Prieto | 2 | 1 | 0.39 |
Tanneguy Redarce | 3 | 79 | 16.14 |