Automatic detection system of micro sleeps of car drivers based on EEG analysis

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Many car incidents happen because the driver falls asleep. The onset of micro-sleeps can be detected by decreasing activity of alpha brain waves and increasing activity of delta brain waves. To develop an automated system for micro-sleeps detection an analysis tool for EEG recordings has been developed. The system has been tested in several experiments of drivers in a car simulator. The developed prototype, experiments and experimental results will be reported in this paper.
Original languageEnglish
Title of host publicationCompSysTech'16
Subtitle of host publicationProceedings of the 17th International Conference on Computer Systems and Technologies 2016
EditorsB. Rachev, A. Smrikarov
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages214-221
Number of pages13
ISBN (Electronic)978-1-4503-4182-0
DOIs
Publication statusPublished - 23 Jun 2016
EventThe 17th International Conference on Computer Systems and Technologies 2016 - Palermo, Italy
Duration: 23 Jun 201624 Jun 2016
http://dl.acm.org/event.cfm?id=RE248&CFID=651102230&CFTOKEN=62460343

Conference

ConferenceThe 17th International Conference on Computer Systems and Technologies 2016
Abbreviated titleCompSysTech '16
CountryItaly
CityPalermo
Period23/06/1624/06/16
Internet address

Keywords

  • Brain-computing
  • Computer Systems
  • EEG Analysis
  • Car Simulator
  • Experiments
  • Microprocessor

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