Name
Abstract | ||
|---|---|---|
Movement primitive segmentation enables long sequences of human movement observation data to be segmented into smaller components, termed movement primitives, to facilitate movement identification, modeling, and learning. It has been applied to exercise monitoring, gesture recognition, human-machine interaction, and robot imitation learning. This paper proposes a segmentation framework to categori... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/THMS.2015.2493536 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Motion segmentation,Algorithm design and analysis,Databases,Cameras,Data collection,Image segmentation,Manuals | Computer vision,Scale-space segmentation,Algorithm design,Segmentation,Computer science,Segmentation-based object categorization,Gesture recognition,Image segmentation,Artificial intelligence,Statistical classification,Robot,Machine learning | Journal |
Volume | Issue | ISSN |
46 | 3 | 2168-2291 |
Citations | PageRank | References |
7 | 0.45 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Feng-Shun Lin | 1 | 27 | 4.07 |
| Michelle Karg | 2 | 16 | 2.15 |
| Dana Kulic | 3 | 810 | 69.21 |