In order to investigate the potential of heart rate measures to reflect changes in the circadian rhythm or in sleepiness, an ultrashort sleep-wake experimental protocol was used to unmask circadian-or sleepiness-related effects: Over a duration of 50 hours and always alternating, subjects attempted to fall asleep within 10 minutes and must stay awa...
Christian Heinze Udo Trutschel Michel Kluge Martin Golz
A novel method to evaluate the statistical significance differences between the groups of coma and brain death patients is presented. This is achieved based on the electroencephalogram (EEG) and by using a collaborative filtering structure with the least mean square (LMS) and least mean phase (LMP) adaptive filters. By virtue of a complex-valued re...
Yili Xia Ling Li Jianting Cao Danilo P. Mandic
In dieser Arbeit wird ein System zur Erkennung von Musikinstrumenten in polyphonen und multitimbralen Musikaufnahmen mittels Verfahren des maschinellen Lernens vorgestellt. Bezogen wurde sich dabei auf Solopartaufnahmen und multitimbrale Aufnahmen, bei denen ein Instrument signifikant vordergründiger zu hören ist als die restlichen, hintergründigen...
Matthias Kahl Martin Golz
Zusammenfassung Das Ziel des vorliegenden Beitrags ist die Darstellung der Entwicklung und Validierung eines phonetisch-akustischen Messverfahrens zur stimmbasierten Schläfrigkeitsdetektion. Der Vorzug dieses automatisierten Messansatzes liegt in der belästigungsarmen, sensorapplikationsfreien Handhabung. Das hier gewählte Stimmanalyseprozedere fol...
Jarek Krajewski Martin Sauerland David Sommer Martin Golz
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 in industrial and transportation applications. An overnight driving simulation scenario with partial sleep deprivation was utilized to induce strong fatigu...
Christian Heinze Udo Trutschel David J Edwards Martin Golz
Posturography methods have been applied in clinical neurootology to evaluate the equilibrium function of patients. Methods of statistical analysis play an important role for improving data processing and to support the interpretation of the results. In contrast to conventional statistics, artificial neural networks are model-free and non-parametric...
L E Walther I Repik Thomas Schnupp Martin Golz
Christian Heinze Udo Trutschel Martin Golz Jens Haueisen
The purpose of this study was to evaluate commercially available devices for driver fatigue monitoring with particular focus on the needs of the mining industry. We present an overview of fatigue monitoring technologies (FMTs) and propose means to evaluate the devices. Three video-based devices were selected and used in an overnight driving simulat...
Martin Golz David Sommer Udo Trutschel David J Edwards
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. The pupil diameter based sleepiness detection is enriched by several new features and machine learning methods. Using all newly computed pupil diameter fe...
Jarek Krajewski Thomas Schnupp Sebastian Schnieder Martin Golz
An overview is presented of different studies on monitoring and detection of drowsiness and microsleep (MS) during driving simulation.
Martin Golz David Sommer
In an overnight driving simulation study three commercially available devices of fatigue monitoring technologies (FMT) were applied to test their accuracy. 16 volunteers performed driving tasks during eight sessions (40 min each) separated by 15 minutes breaks. The main output variable of FMT devices, which is the percentage of eye closure (PERCLOS...
David Sommer Martin Golz
The aim of this paper is to develop signal processing based method to measure fatigue from motor behaviour. The advantages of this steering wheelmovement approach are that obtaining steering data within driving is robust, non obtrusive, free from sensor application and calibration efforts. Applying methods of continuous wavelet transform (CWT) prov...
Jarek Krajewski Martin Golz Sebastian Schnieder David Sommer
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
Accidents caused by fatigue in transportation or mining operations (involving heavy equipment) can lead to substantial damage and human injury. Preventing such fatigue related accidents is highly desirable, but requires techniques for continuously estimating and predicting the operator's fatigue state. In this paper, we analyze the potential of ECG...
Christian Heinze Udo Trutschel Martin Golz Jens Haueisen
For many shift workers in 24/7 societies, working schedules and social influences off the job conflict with their sleep-wake cycle (SWC). In order to ensure sustained wakefulness and high performance during work time as well as to support worker's long-term health, it's important to forecast their SWC by individualized bio-mathematical models. This...
Christian Heinze Udo Trutschel Martin Golz Jens Haueisen
Fatigue Monitoring Technologies (FMT) aim at detecting dangerous states of subjects during driving. In a recently published technology report of Caterpillar Machine Research 35 FMT solutions were listed, whereby 22 of them were commercially available in 2006. Most of them utilize measurements of driver behavior such as video recordings of eyelid mo...
Martin Golz David Sommer Jarek Krajewski
Martin Golz David Sommer Udo Trutschel David J Edwards
In the area of transportation research, there is a growing need for robust and reliable measures of hypovigilance, particularly due to the current volume of research in the development and validation of Fatigue Monitoring Technologies (FMT). Most of the currently emerging FMT is vision based. The parameter Percentage of Eyelid Closure (PERCLOS) is...
David Sommer Martin Golz Udo Trutschel David J Edwards
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
This article describes a general framework for detecting sleepiness states on the basis of prosody, articulation, and speech-quality-related speech characteristics. The advantages of this automatic real-time approach are that obtaining speech data is nonobstrusive and is free from sensor application and calibration efforts. Different types of acous...
Jarek Krajewski Anton Batliner Martin Golz
We present an estimation of fatigue level within individual operators using voice analysis. One advantage of voice analysis is its utilization of already existing operator communications hardware (2-way radio). From the driver viewpoint it's an unobtrusive, non-interfering, secondary task. The expected fatigue induced speech changes refer to the vo...
Jarek Krajewski Udo Trutschel Martin Golz David J Edwards
