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
Todd Dawson Udo Trutschel W. Sirois Martin Moore-Ede
There is growing acknowledgement that fatigue plays a significant role in traffic accidents. This study evaluated the relationship between fatigue-related accidents and Micro- Sleep Events (MSE) using a real car driving simulator. Ten healthy volunteers participated in the study for two nights each. After a period of struggling against sleep pressu...
Bill Sirois Udo Trutschel David J Edwards Martin Golz
This study was designed to evaluate the viabililty of utilizing Tachograms for estimating fatigue in industrial and transportation applications. To explore this possibility Tachograms were recorded continuously and several heart rate measures were calculated and correlated with other well established fatigue measures. It was anticipated that ch...
Robert Hefner David J Edwards Christian Heinze Udo Trutschel
This paper examined a steering behavior based fatigue monitoring system. The advantages of using steering behavior for detecting fatigue are that these systems measure continuously, cheaply, non-intrusively, and robustly even under extremely demanding environmental conditions. The expected fatigue induced changes in steering behavior are a pattern...
Jarek Krajewski David Sommer Udo Trutschel 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
Robust and reliable determination of hypovigi¬lance is required in many areas, particularly transportation. Here, new products of Fatigue Monitoring Tech¬nologies (FMT) emerge. Their development and assessment requires an independent reference standard of driver’s hypovigi¬lance. Until recently most approaches utili¬zed electrooculography (EOG) and...
David Sommer Martin Golz Udo Trutschel David J Edwards
When subjects are monitored over long time spans and when several biosignals are derived a large amount of data has to be processed. In consequence, the number of features which has to be extracted is mostly very restricted in order to avoid the so-called “curse of high dimensionality”. Donoho [1] stated that this applies only if algorithms perform...
Martin Golz David Sommer Udo Trutschel
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
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with...
D.P. Mandic Martin Golz Anthony Kuh Toshihisa Tanaka
A framework for automatic relevance determination based on artificial neural networks and an evolution strategy is presented. It is applied to an important problem in biomedicine, namely, the detection of unintentional episodes of sleep during sustained operations of subjects, so-called microsleep episodes. Human expert ratings based on video and b...
Martin Golz David Sommer
This paper describes a general framework for detecting affective and energetic states based on prosody, articulation and speech quality related speech characteristics. The advantages of this realtime approach are that obtaining speech data is non obstrusive, free from sensor application and calibration efforts. The main part of the feature computat...
Jarek Krajewski Rainer Wieland David Sommer Martin Golz
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
A combination of linear and nonlinear methods for feature fusion is introduced and the performance of this methodology is illustrated on a real-world problem: the detection of sudden and non-anticipated lapses of attention in car drivers due to drowsiness. To achieve this, signals coming from heterogeneous sources are processed, namely the brain el...
Martin Golz David Sommer Mo Chen Udo Trutschel
The aim of this study is to detect the occurrence of microsleep events in an overnight driving task. We propose a biosignal analysis method for the detection and extraction of microsleep events. This is achieved by employing blind source extraction method based on a cascaded nonlinear estimator to extract the relevant microsleep events. The cascade...
wai yie Leong Danilo P. Mandic Martin Golz David Sommer
Alexander Gundel René Gerber Karel Marsalek Martin Golz
Zum Vol. I von: Computer science meets automation: 52. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 10 - 13 September 2007 Zum Vol. II von: Computer science meets automation: 52. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 10 - 13 September 2007
David Sommer Martin Golz
The ability to adapt our sleep/wake cycle (SWC) to strongly altering time cues is crucial to maintain nowadays round-the-clock society [7]. However, many accidents are caused by sudden losses of attention when working during regular sleep hours where a proper adaptation of the SWC did not occur. We suggest a combined bio-mathematical model to simul...
Sven Schirmer Christian Heinze Martin Golz
Thomas Schnupp Markus Holzbrecher Martin Golz
Martin Golz David Sommer Thomas Schnupp Danilo Mandic
A framework for automated scoring of sleep stages during afternoon naps of healthy humans is introduced. This is achieved by sequential fusion of nonlinear features extracted from three physiological channels: the electroencephalogram (EEG), electrooculogram (EOG) and respiratory trace (RES). These features are generated by means of the recently in...
Mo Chen David Sommer Vanessa Goh Danilo Mandic
