Name
Abstract | ||
|---|---|---|
In this paper, we propose a new framework to assess temporal coordination (synchrony) and content coordination (behavior matching) in dyadic interaction. The synchrony module is dedicated to identify the time lag and possible rhythm between partners. The imitation module aims at assessing the distance between two gestures, based on 1-Class SVM models. These measures discriminate significantly conditions where synchrony or behavior matching occurs from conditions where these phenomenons are absent. Moreover, these measures are unsupervised and could be implemented online. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-37081-6_2 | MPRSS |
Keywords | Field | DocType |
time lag,social coordination assessment,dyadic interaction,behavior matching,content coordination,temporal coordination,1-class svm model,new framework,possible rhythm,imitation module,synchrony module | Time lag,Gesture,Computer science,Support vector machine,Speech recognition,Social coordination,Imitation,Artificial intelligence,Dyadic interaction,Rhythm,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.39 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilie Delaherche | 1 | 40 | 3.84 |
| Sofiane Boucenna | 2 | 138 | 11.16 |
| Koby Karp | 3 | 11 | 0.88 |
| Stéphane Michelet | 4 | 11 | 0.88 |
| Catherine Achard | 5 | 158 | 19.60 |
| Mohamed Chetouani | 6 | 590 | 59.47 |