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Applying nonlinear dynamics features for speech-based fatigue detection
TLDR
A speech signal processing method to measure fatigue from speech using methods of Non Linear Dynamics provides additional information regarding the dynamics and structure of fatigue speech comparing to the commonly applied speech emotion recognition feature set. Expand
Detecting fatigue from steering behaviour applying continuous wavelet transform
TLDR
Applying methods of continuous wavelet transform (CWT) provides additional information regarding the dynamics and structure of steering behavior comparing to the commonly applied spectral Fourier transform features. Expand
Discrimination and relevance determination of heart rate variability features for the identification of congestive heart failure
TLDR
A machine learning framework is proposed that implements automated relevance determination in order to identify the deciding RR interval features for the discrimination between congestive heart failure and healthy condition, where HRV is generally reduced in comparison to the healthy condition. Expand
Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation
TLDR
It can be concluded that the fatigue state of the operator was more impaired during the tracking task than during driving, pointing to a slightly higher demanding workload for the driving task. Expand
Detection of microsleep events in a car driving simulation study using electrocardiographic features
TLDR
The results show that MSE cannot be detected (or predicted) using only the ECG, however, in the presence of MSE, the rhythmical and morphological features were observed to be significantly different than the ones calculated for the reference signal without sleepiness. Expand
The Compensatory Tracking Task: A Pattern Recognition Based Approach for Classifying Vigilance
TLDR
Methods of pattern recognition on data of the Compensatory Tracking Task (CTT) in order to classify between two different vigilance states show that best performance was obtained utilizing spectral domain features in combination with Support-Vector Machines. Expand
Asymmetric Properties of Heart Rate Variability to Assess Operator Fatigue
The aim of this study is to evaluate the suitability of heart rate recordings for establishing a reliable connection to well-defined fatigue and performance measures in order to estimate fatigue inExpand
Operator Fatigue Estimation Using Heart Rate Measures
The growing number of fatigue related accidents in recent years has become a serious concern. Accidents caused by fatigue in transportation and in mining operations involving heavy equipment can leadExpand
Pattern recognition methods: a novel analysis for the pupillographic sleepiness test
TLDR
The aim of this paper is to improve the information gained by the most commonly applied fit-for-duty sleepiness test (Pupillographic Sleepiness test, PST) by using pattern recognition approaches and achieving accuracy of 83.03% on participant-dependent data with a Random Forest classifier. Expand
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