Work

Support Vector Machine Based Detection of Drowsiness Using Minimum EEG Features

Year: 2013

Type: conference-paper

Source: International Conference on Social Computing

DOI: 10.1109/socialcom.2013.124

Authors: Shaoda Yu, Peng Li, Honghuang Lin, Ehsan Rohani, Gwan Choi, Botang Shao, Qian Wang

Institution: Texas A&M University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W1984135305

FWCI: 4.232

Cites: 16

Cited by: 45

Related to: 10