A digital signal analysis system for vigilance studies is presented. The analysis is based on adaptive segmentation, band pass filtering, nonlinear eye movement detection and rule-based decision making. A preliminary evaluation of seven subjects falling asleep showed that the system is able to detect small vigilance fluctuations reliably
Many vigilance tasks require discrimination of infrequent signal events from frequent non-signals. D...
Dayly monitoring and analisys of is becoming more and more a popular and the detection of deviations...
Vigilance of an operator is compromised in performing many monotonous activities like workshop and m...
Abstract—This study provides a highly efficient online method for vigilance analysis and verifies th...
Abstract — This study aims at using electrooculographic (EOG) features, mainly slow eye movements (S...
The aim of the present study was to develop and validate a software tool for the detection of moveme...
Abstract — In some tasks that require sustained attention, vigilance levels of the operator might be...
The objective of this study was to determine if eye and head based psychophysiological cues can be u...
This study provides a highly efficient online method for vigilance analysis and verifies this theory...
This article is concerned with the analysis of the mastoid electroencephalogram (EEG) using parametr...
Eye state analysis in real-time is a main input source for Fatigue Detection Systems and Human Compu...
'Over the past 20 years a considerable amount of research has been expended on the use of human...
Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairmen...
An algorithm that can automatically identify slow eye movements from the electro-oculogram is presen...
AbstractMonitoring the movements of the human during sleep can potentially give us a good estimation...
Many vigilance tasks require discrimination of infrequent signal events from frequent non-signals. D...
Dayly monitoring and analisys of is becoming more and more a popular and the detection of deviations...
Vigilance of an operator is compromised in performing many monotonous activities like workshop and m...
Abstract—This study provides a highly efficient online method for vigilance analysis and verifies th...
Abstract — This study aims at using electrooculographic (EOG) features, mainly slow eye movements (S...
The aim of the present study was to develop and validate a software tool for the detection of moveme...
Abstract — In some tasks that require sustained attention, vigilance levels of the operator might be...
The objective of this study was to determine if eye and head based psychophysiological cues can be u...
This study provides a highly efficient online method for vigilance analysis and verifies this theory...
This article is concerned with the analysis of the mastoid electroencephalogram (EEG) using parametr...
Eye state analysis in real-time is a main input source for Fatigue Detection Systems and Human Compu...
'Over the past 20 years a considerable amount of research has been expended on the use of human...
Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairmen...
An algorithm that can automatically identify slow eye movements from the electro-oculogram is presen...
AbstractMonitoring the movements of the human during sleep can potentially give us a good estimation...
Many vigilance tasks require discrimination of infrequent signal events from frequent non-signals. D...
Dayly monitoring and analisys of is becoming more and more a popular and the detection of deviations...
Vigilance of an operator is compromised in performing many monotonous activities like workshop and m...