Workshop III, September 3^rd

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