Temporal Impact on Cognitive Distraction Detection for Car Drivers using EEG

Eike Schneiders, Mikkel Rytter Bjerregaard Kristensen, Michael Kvist Svangren, Mikael B. Skov

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
42 Downloads (Pure)


Electroencephalography (EEG) has the potential to measure a person’s cognitive state, however, we still only have limited knowledge about how well-suited EEG is for recognising cognitive distraction while driving. In this paper, we present DeCiDED, a system that uses EEG in combination with machine learning to detect cognitive distraction in car drivers. Through DeCiDED, we investigate the temporal impact, of the time between the collection of training and evaluation data, and the detection accuracy for cognitive distraction. Our results indicate, that DeCiDED can recognise cognitive distraction with high accuracy when training and evaluation data are originating from the same driving session. Further, we identify a temporal impact, resulting in reduced classification accuracy, of an increased time-span between different drives on the detection accuracy. Finally, we discuss our findings on cognitive attention recognition using EEG how to complement it to categorise different types of distractions.
Original languageEnglish
Title of host publicationAustralian Conference on Human-Computer Interaction
Number of pages8
PublisherAssociation for Computing Machinery
Publication dateDec 2020
ISBN (Print)9781450389754
Publication statusPublished - Dec 2020
Event32nd Australian Conference on Human-Computer Interaction - Virtual, Sidney, Australia
Duration: 2 Dec 20204 Dec 2020


Conference32nd Australian Conference on Human-Computer Interaction
Internet address


  • Temporal Impact on Cognitive Distraction Detection
  • Electroencephalography
  • EEG
  • Cognitive State Detection
  • Cognitive Distraction
  • Distraction Detection for Drivers


Dive into the research topics of 'Temporal Impact on Cognitive Distraction Detection for Car Drivers using EEG'. Together they form a unique fingerprint.

Cite this