date accessioned | 2020-03-12T20:08:02Z | |
date available | 2020-03-12T20:08:02Z | |
date issued | 2014 | |
identifier other | 6853121.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1003143?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | A new algorithm detects pilot fatigue based on machine vision | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8124314 | |
subject keywords | discrete wavelet transforms | |
subject keywords | diseases | |
subject keywords | electroencephalography | |
subject keywords | feature selection | |
subject keywords | learning (artificial intelligence) | |
subject keywords | medical signal detection | |
subject keywords | patient monitoring | |
subject keywords | patient rehabilitation | |
subject keywords | radial basis function networks | |
subject keywords | signal classification | |
subject keywords | support vector machines | |
subject keywords | EEG feature | |
subject keywords | SVM | |
subject keywords | automated epileptic seizure detection | |
subject keywords | automatic seizure detection | |
subject keywords | classification scheme | |
subject keywords | epilepsy patient monitoring | |
subject keywords | epilepsy patient rehabilitation | |
subject keywords | feature selection algorithm | |
subject keywords | radial basis function kernels | |
subject keywords | r | |
identifier doi | 10.1109/ICCICCT.2014.6993105 | |
journal title | ontrol and Decision Conference (2014 CCDC), The 26th Chinese | |
filesize | 4877578 | |
citations | 0 | |
contributor rawauthor | Zhizhi Guo , Qianxiang Zhou , Zhongqi Liu , Yixuan Lv , Yun Tian | |