Name
Title | ||
|---|---|---|
Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap and Ensemble SVMs. |
Abstract | ||
|---|---|---|
The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial for preventing possible accidents in human-machine collaborative systems. Recent literature has shown that the change of discrete CTL level during human-machine system operations can be objectively recognized using neurophysiological data and supervised learning technique. The objective of this wor... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCBB.2016.2561927 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | Field | DocType |
Electroencephalography,Support vector machines,Man machine systems,Feature extraction,Heart rate,Automation,Laplace equations | Pattern recognition,Computer science,Support vector machine,Supervised learning,Feature extraction,Artificial intelligence,Cluster analysis,Classifier (linguistics),Ensemble learning,CTL*,Machine learning,Mixture model | Journal |
Volume | Issue | ISSN |
14 | 4 | 1545-5963 |
Citations | PageRank | References |
3 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianhua Zhang | 1 | 47 | 4.85 |
| Zhong Yin | 2 | 78 | 8.09 |
| Rubin Wang | 3 | 141 | 25.54 |