mdh.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Driver's Mental State Monitoring System Using CBR Based on Heart Rate Variability Analysis
Mälardalens högskola, Akademin för innovation, design och teknik. (IS)ORCID-id: 0000-0002-1212-7637
Mälardalens högskola, Akademin för innovation, design och teknik. (IS)ORCID-id: 0000-0003-3802-4721
Mälardalens högskola, Akademin för innovation, design och teknik. (IS)ORCID-id: 0000-0002-5562-1424
2012 (Engelska)Ingår i:  , 2012Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The consequences of tiredness, drowsiness, stress and lack of concentration caused by a variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious problem in traffic and when operating industrial equipment. This is especially important for professional drivers since both expensive equipment and lives may be at stake, e.g. in mining, construction and personal transportation, reduced concentration, stress or tiredness are known to be the cause of many accidents. A system which recognizes the state of the driver and e.g. suggests breaks when stress level is too high or driver is too tired would enable large savings and reduces accident. Today different sensors enable clinician to determine a driver’s status with high accuracy. The aim of the paper is to develop an intelligent system that can monitor drivers’ stress depending on psychological and behavioral conditions/status using heart rate variability. An experienced clinician is able to diagnose a person’s stress level based on sensor readings. Here, we propose a solution using case-based reasoning to diagnose individual driver’s stress. During calibration a number of individual parameters are established. The system also considers the feedback from the driver’s on how well the test was performed The validation of the approach is based on close collaboration with experts and measurements from 18 driver’s from Volvo Construction Equipment are used as reference.

Ort, förlag, år, upplaga, sidor
2012.
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mdh:diva-17321OAI: oai:DiVA.org:mdh-17321DiVA, id: diva2:579652
Konferens
7th International Symposium Advances in Artificial Intelligence and Applications (AAIA'12)
Tillgänglig från: 2012-12-20 Skapad: 2012-12-20 Senast uppdaterad: 2017-01-25Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Personposter BETA

Begum, ShahinaAhmed, Mobyen UddinFunk, Peter

Sök vidare i DiVA

Av författaren/redaktören
Begum, ShahinaAhmed, Mobyen UddinFunk, Peter
Av organisationen
Akademin för innovation, design och teknik
Teknik och teknologier

Sök vidare utanför DiVA

GoogleGoogle Scholar

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 103 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf