A new algorithm detects pilot fatigue based on machine vision
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: 2014DOI: 10.1109/ICCICCT.2014.6993105
Keyword(s): discrete wavelet transforms,diseases,electroencephalography,feature selection,learning (artificial intelligence),medical signal detection,patient monitoring,patient rehabilitation,radial basis function networks,signal classification,support vector machines,EEG feature,SVM,automated epileptic seizure detection,automatic seizure detection,classification scheme,epilepsy patient monitoring,epilepsy patient rehabilitation,feature selection algorithm,radial basis function kernels,r
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A new algorithm detects pilot fatigue based on machine vision
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| 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?locale-attribute=en | |
| 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 |