Name
Abstract | ||
|---|---|---|
Human body motion analysis is an initial procedure for understanding and perceiving human activities. A multilevel approach is proposed here for automatic human activity and social role identification. Different topics contribute to the development of the proposed approach, such as feature extraction, body motion description, and probabilistic modeling, all combined in a multilevel framework. The ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCDS.2016.2607154 | IEEE Transactions on Cognitive and Developmental Systems |
Keywords | Field | DocType |
Feature extraction,Bayes methods,Estimation,Assistive technology,Gesture recognition,Analytical models,Biological system modeling | Motion capture,Computer science,Gesture recognition,Human motion,Artificial intelligence,Probabilistic logic,Motion analysis,Laban Movement Analysis,Computer vision,Pattern recognition,Feature extraction,Bayesian network,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 1 | 2379-8920 |
Citations | PageRank | References |
4 | 0.40 | 41 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamrad Khoshhal Roudposhti | 1 | 27 | 2.82 |
| Jorge Dias | 2 | 175 | 33.83 |
| Paulo Peixoto | 3 | 195 | 18.86 |
| Vangelis Metsis | 4 | 434 | 30.99 |
| Urbano Nunes | 5 | 867 | 72.37 |