Name
Abstract | ||
|---|---|---|
In this paper, we investigate the detection of laughter from the user's nonverbal full-body movement in social and ecological contexts. Eight hundred and one laughter and nonlaughter segments of full-body movement were examined from a corpus of motion capture data of subjects participating in social activities that stimulated laughter. A set of 13 full-body movement features was identified, and co... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/THMS.2015.2480843 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Feature extraction,Joints,Games,Motion segmentation,Context,Face,Tracking | Laughter,Motion capture,Computer science,Self-organizing map,Artificial intelligence,Random forest,Discriminative model,Computer vision,Pattern recognition,Naive Bayes classifier,Support vector machine,Feature extraction,Machine learning | Journal |
Volume | Issue | ISSN |
46 | 1 | 2168-2291 |
Citations | PageRank | References |
7 | 0.51 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radoslaw Niewiadomski | 1 | 414 | 35.95 |
| Maurizio Mancini | 2 | 597 | 55.25 |
| Giovanna Varni | 3 | 170 | 26.42 |
| Gualtiero Volpe | 4 | 864 | 101.42 |
| Antonio Camurri | 5 | 1107 | 142.92 |