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Workshop III, September 3rd
Psychomotor Vigilance Task
Field: Vigilance - Speaker: Dipl.-Inf. (FH) Thomas Schnupp
- Overview
- Test Principle
- Commonly Utilized Features
- Comparison of Results of different authors
- Discussion:
- problem: too little amount of data
- Pros and Cons of utilizing Constant Routine protocols
- Interpretation of fast and slow reaction times as separator between circadian and sleep homeostatic effect
Microsleep Detection
Field: Vigilance - Speaker: Prof. Martin Golz
- Introduction: mild and strong fatigue
- Sleep apnea and excessive sleepiness
- Definition of microsleep: behaviour vs. electrophysiology
- Experimental pitfalls
- Results of two different labs
- Discussion
- Subjective rating of microsleep
- Value of a fixed team of raters
- Differences between objective and subjective measures
First results of a new approach to vigilance assessment
Field: Signal Processing - Speaker: Rudi Erbe
- Introduction: description of experiments
- Introduction: test device
- Biosignal acquisition
- Basic signal processing
- Feature extraction: time-domain methods
- Outlook: time-domain methods known from EOG analysis
- Outlook: master thesis
- Discussion
- Feature extraction: information-theoretic measures
- Feature extraction: time-frequency analysis, wavelets, matching pursuit
Alpha Attenuation Test (AAT)
Field: Signal Processing - Description of the AAT
- EEG aspects, e.g. electrode locations, artifacts
- Experimental setup: sitting vs. lying position, weak visual stimulation
- Biosignal processing and feature extraction
- Outlook: master thesis
- Discussion
- Different experimental conditions,
- Inter-individual variations, baseline measurements
- Non-alpha producing subjects
- Outlook: Discriminant Analysis
Driver Assistance Systems (DAS) and attention
Field: Vigilance - Speaker: Prof. Martin Golz
- Introduction: attention, distraction, fatigue
- Fatigue monitoring in vehicles and adaptive systems
- Different concept of experiments, real-road versus driving simulation
- Eye & head movements
- Signal processing and discriminant analysis
- Problem: valid criteria for labelling attention
- Discussion:
- Automotive industry requires simple & robust solutions
- Value of different sensors currently available
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