Support Vector Machine Based Detection of Drowsiness Using Minimum EEG Features - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Shaoda Yu, Peng Li, Honghuang Lin, Ehsan Rohani, Gwan Choi, Botang Shao, Qian Wang. Support Vector Machine Based Detection of Drowsiness Using Minimum EEG Features. In International Conference on Social Computing, SocialCom 2013, SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, Washington, DC, USA, 8-14 September, 2013. pages 827-835, IEEE, 2013. [doi]

The following publications are possibly variants of this publication:

Application of genetic algorithm based support vector machine in selection of new EEG rhythms for drowsiness detectionHui Wang, Lei Zhang, Longxu Yao. eswa, 171:114634, 2021. [doi]

runs on WebDSL