Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks

This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, a...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v:Front Neurosci
Main Authors: Chai, Rifai, Ling, Sai Ho, San, Phyo Phyo, Naik, Ganesh R., Nguyen, Tuan N., Tran, Yvonne, Craig, Ashley, Nguyen, Hung T.
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2017
Teme:
Neuroscience
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5339284/
https://ncbi.nlm.nih.gov/pubmed/28326009
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00103
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki