Name
Abstract | ||
|---|---|---|
This study explores deriving minimal features for a robotic face to convey information (via facial expressions) that people can perceive/understand. Recent research in computer vision has shown that a small number of moving points/lines can be used to capture the majority of information (~95%) in human facial expressions. Here, we apply such findings to a minimalist robot face; recognition rates were similar to more complex robots. The project aims to answer a number of fundamental questions about robotic face design, as well as to develop inexpensive/replicable robotic faces for experimental purposes.
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Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HRI.2013.6483511 | HRI |
Keywords | Field | DocType |
minimalist robot face,robotic face,minimalist robotic face,complex robot,small number,robotic face design,affective expression,human facial expression,facial expression,computer vision,experimental purpose,replicable robotic face,human robot interaction,face,emotion,face recognition,accuracy,educational robots | Facial recognition system,Computer science,Emotion recognition,Human–computer interaction,Facial expression,Face detection,Robot,Affect (psychology),Perception,Human–robot interaction | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4673-3055-8 | 1 |
PageRank | References | Authors |
0.36 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Casey C. Bennett | 1 | 59 | 5.47 |
| Selma Šabanović | 2 | 35 | 3.22 |
| Sabanovic, S. | 3 | 1 | 0.36 |