Name
Abstract | ||
|---|---|---|
We formalize the representation of gestures and present a model that is capable of synchronizing expressive and relevant gestures with text-to-speech input. A gesture consists of gesture primitives that are executed simultaneously. We formally define the gesture primitive and introduce the concept of a spatially targeted gesture primitive, i.e., a gesture primitive that is directed at a target of interest. The spatially targeted gesture primitive is useful for situations where the direction of the gesture is important for meaningful human-robot interaction. We contribute an algorithm to determine how a spatially targeted gesture primitive is generated. We also contribute a process to analyze the input text, determine relevant gesture primitives from the input text, compose gestures from gesture primitives and rank the combinations of gestures. We propose a set of criteria that weights and ranks the combinations of gestures. Although we illustrate the utility of our model, algorithm and process using a NAO humanoid robot, our contributions are applicable to other robots. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ROMAN.2012.6343739 | RO-MAN |
Keywords | Field | DocType |
human-robot interaction,humanoid robots,speech synthesis,NAO humanoid robot,gesture composition,gesture modeling,human-robot interaction,spatially targeted gesture primitive,text-to-speech input | Computer vision,Speech synthesis,Computer science,Gesture,Synchronizing,Gesture recognition,Speech recognition,Artificial intelligence,Robot,Human–robot interaction,Humanoid robot | Conference |
ISSN | ISBN | Citations |
1944-9445 E-ISBN : 978-1-4673-4605-4 | 978-1-4673-4605-4 | 3 |
PageRank | References | Authors |
0.45 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junyun Tay | 1 | 35 | 3.66 |
| Manuela Veloso | 2 | 8563 | 882.50 |