Martin Lachmann Tilman Stark Martin Golz Eberhard Manske
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
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
Thomas Schnupp David Sommer Jarek Krajewski Martin Golz
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
Corinne Schenka Thomas Schnupp Christian Heinze Martin Golz
Thomas Schnupp Adolf Schenka David Sommer Jarek Krajewski
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
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
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
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
David Sommer Martin Golz Thomas Schnupp David J Edwards
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
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
Thomas Schnupp Markus Holzbrecher Martin Golz
Martin Golz David Sommer Thomas Schnupp Danilo Mandic
