KapitelPublikationen

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Applying Nonlinear Dynamics Features for Speech-based Fatigue Detection Chapter - Aug 2010

This paper describes a speech signal processing method to measure fatigue from speech. The advantages of this realtime approach are that obtaining speech data is non obtrusive, free from sensor application and calibration efforts. Applying methods of Non Linear Dynamics(NLD) provides additional information regarding the dynamics and structure of fa...

Jarek Krajewski David Sommer Thomas Schnupp Martin Golz

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Operator Fatigue Estimation Using Heart Rate Measures Chapter - Jan 2010

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 lead to substantial damage and loss of human life. Preventing such fatigue related accidents is highly desirable, but requires techniques for continuously...

Christian Heinze Udo Trutschel Thomas Schnupp Martin Golz

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Is Posturography a Candidate for a Vigilance Test? Chapter - Jan 2010

Studies exhibit that between 20 and 40% of traffic accidents in Germany are related to driver's hypovigilance. Hypovigilance, as stated by some authors, effects driver's per formance in a similar way as alcohol consumption does. But un like blood alcohol level testing up to now there is no mobile, non invasive vigilance test with low test durations...

Thomas Schnupp Adolf Schenka David J Edwards Martin Golz

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How to shift the human sleep-wake cycle: a simulation study incorporating monochromatic blue light Chapter - Jan 2009

A sleep-wake cycle (SWC) forced by shift work often dissociates with physiological rhythms. It is therefore desirable to shift human SWC. We propose a model which outputs time of sleep onset and wake up and allows to adapt SWC due to the influence of ambient light. Several model parameters were optimized utilizing Genetic Algorithms to account for...

Christian Heinze Sven Schirmer Martin Golz

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Consecutive Detection of Extreme Central Fatigue Chapter - Jan 2009

In order to establish fatigue monitoring technologies a valid method for automatic detection of extreme central fatigue is needed. At present, acquisition of biosignals and their analysis by computational intelligence methods are most promising. We present experiments during which 10 volunteers drove overnight in our real-car lab following a partia...

David Sommer Martin Golz Jarek Krajewski

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Assessing Driver’s Hypovigilance from Biosignals Chapter - Jan 2009

For the assessment of Fatigue Monitoring Technologies (FMT) an independent reference of driver’s hypovigilance is needed. To achieve this goal, we propose to process EEG and EOG biosignals, to apply a feature fusion concept and to utilize Support-Vector Machines (SVM) for classification. Karolinska Sleepiness Scale (KSS) and variation of lane devia...

David Sommer Martin Golz Udo Trutschel David J Edwards

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Genetic Algorithm Based Feature Selection Applied on Predicting Microsleep from Speech Chapter - Jan 2009

Within this study we apply a speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech emotion recognition use low-level descriptors and functionals to compute brute-force feature sets. This paper describes an usually large feature set (45k) utilizing a broad pool of diverse elementa...

Jarek Krajewski Martin Golz David Sommer Rainer Wieland

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A measure of strong driver fatigue Chapter - Jan 2009

David Sommer Martin Golz Thomas Schnupp David J Edwards

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Feature Reduction in Biosignal Processing Chapter - Jan 2008

Feature reduction is common in biosignal analysis, especially in case of quantitative EEG analysis. Mostly, summation in the spectral domain is applied to reduce the number of estimated power spectral density values, which gains between four and twelve band power values. Depending on the problem, on signals under analysis and on methods used for fu...

Martin Golz David Sommer

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Sensitivity of posturography to elimination of visual feedback Chapter - Jan 2008

Posturography, or stabilometry, is a relatively simple, inexpensive and quick method, enabling clinic personal to identify the presence of balance impairments at an early stage and is widely accepted as a diagnosis indicator and monitoring tool in medicine, mainly in otorhinolaryngology and neurology [1]. It is also a method of quantitative assessm...

Thomas Schnupp Markus Holzbrecher-Morys Danilo Mandic Martin Golz

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METHOD FOR THE AUTOMATIC DETECTION OF MICROSLEEPS USING A NEURO-FUZZY HYBRID SYSTEM Chapter - Jun 1998

Impaired alertness accompanied by short microsleep episodes is a frequently reported phenomenon in all areas of modern life. A microsleep episode can be defined as a somewhat unexpected short episode of sleep (between 2 and 30 seconds that occurs in the midst of ongoing wakeful activity .

Udo Trutschel Rainer Guttkuhn Chris Ramsthaler Martin Moore-Ede

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Technological Measures for Alertness Management Chapter

Martin Golz David Sommer Thomas Schnupp Christian Heinze

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Fitness for duty testing using posturography Chapter

Several authors investigated the impact of sleepiness on operator performance. Unlike to blood alcohol content testing there is to date no comparably simple, mobile, non-invasive fitness for duty test with low test durations. The quantitative assessment of balance control in free stance, the so-called posturography, could turn out a robust fitness...

Mark Holmes Bill Sirios Thomas Schnupp David J Edwards

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Posturographical Features for Vigilance Assessment Chapter

Thomas Schnupp David Sommer Christian Heinze Martin Golz

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Data Analysis of the Compensatory Tracking Task Using Computational Intelligence Chapter

Several attempts have been made to assess sleepiness by test procedures within short time. Short-term observations lead to increased uncertainty. On the other hand, methods of Computational Intelligence are known to deal with large variance and limited amount of data which prevents the application of parametric statistics. This contribution aims at...

Thomas Schnupp Corinne Schenka Jarek Krajewski Martin Golz

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On the Significance of the Compensatory Tracking Task Chapter

Corinne Schenka Thomas Schnupp Christian Heinze Martin Golz

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