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Detecting driver fa...
Detecting driver fatigue using heart rate variability: A systematic review
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- Lu, Ke, 1991 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,SAFER Vehicle and Traffic Safety Centre, Sweden; Chalmers University of Technology, Sweden
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- Sjörs, Anna, 1981 (author)
- Statens väg- och transportforskningsinstitut,Människan i transportsystemet, MTS,SAFER Vehicle and Traffic Safety Centre, Sweden; Chalmers University of Technology, Sweden,Statens Väg- och Transportforskningsinstitut (VTI),The Swedish National Road and Transport Research Institute (VTI),Chalmers tekniska högskola,Chalmers University of Technology
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- Karlsson, J. G. (author)
- Autoliv AB, Sweden,Chalmers tekniska högskola,Chalmers University of Technology,SAFER Vehicle and Traffic Safety Centre, Sweden; Autoliv Development AB, Sweden
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- Candefjord, Stefan, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden; Autoliv Development AB, Sweden
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
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In: Accident Analysis and Prevention. - : Elsevier BV. - 0001-4575 .- 1879-2057. ; 178
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Abstract
Subject headings
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- Driver fatigue detection systems have potential to improve road safety by preventing crashes and saving lives. Conventional driver monitoring systems based on driving performance and facial features may be challenged by the application of automated driving systems. This limitation could potentially be overcome by monitoring systems based on physiological measurements. Heart rate variability (HRV) is a physiological marker of interest for detecting driver fatigue that can be measured during real life driving. This systematic review investigates the relationship between HRV measures and driver fatigue, as well as the performance of HRV based fatigue detection systems. With the applied eligibility criteria, 18 articles were identified in this review. Inconsistent results can be found within the studies that investigated differences of HRV measures between alert and fatigued drivers. For studies that developed HRV based fatigue detection systems, the detection performance showed a large variation, where the detection accuracy ranged from 44% to 100%. The inconsistency and variation of the results can be caused by differences in several key aspects in the study designs. Progress in this field is needed to determine the relationship between HRV and different fatigue causal factors and its connection to driver performance. To be deployed, HRV-based fatigue detection systems need to be thoroughly tested in real life conditions with good coverage of relevant driving scenarios and a sufficient number of participants.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Infrastrukturteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Infrastructure Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Other Civil Engineering (hsv//eng)
Keyword
- Driver monitor
- Heart rate variability
- Sleepiness
- Fatigue
Publication and Content Type
- art (subject category)
- ref (subject category)
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