A semi-supervised inattention detection method using biological signal
- 7 February 2017
- journal article
- research article
- Published by Springer Nature in Annals of Operations Research
- Vol. 258 (1) , 59-78
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Education (KR) (21A20130012638)
- National Research Foundation of Korea (2013R1A2A2A03013947)
This publication has 53 references indexed in Scilit:
- Regional brain wave activity changes associated with fatiguePsychophysiology, 2012
- Some operations research methods for analyzing protein sequences and structuresAnnals of Operations Research, 2009
- A mathematical framework for sequential passenger and baggage screening to enhance aviation securityComputers & Industrial Engineering, 2009
- Psychophysiological investigation of vigilance decrement: Boredom or cognitive fatigue?Physiology & Behavior, 2008
- Estimating vigilance level by using EEG and EMG signalsNeural Computing and Applications, 2007
- Electroencephalogram (EEG) time series classification: Applications in epilepsyAnnals of Operations Research, 2006
- Frequent lapses of responsiveness during an extended visuomotor tracking task in non‐sleep‐deprived subjectsJournal of Sleep Research, 2006
- An optimization algorithm for clustering using weighted dissimilarity measuresPattern Recognition, 2004
- Unsupervised learning of prototypes and attribute weightsPattern Recognition, 2004
- Visual Sustained Attention: Image Degradation Produces Rapid Sensitivity Decrement Over TimeScience, 1983