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Driver Condition Detection

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Handbook of Driver Assistance Systems

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Abstract

This following chapter deals with driver condition detection. After delineating the factors relevant to detecting a driver’s condition and discussing the reasons for addressing the subject in terms of accident risk and the corresponding potentials and challenges (Sect. 1), three potential uses of driver condition detection are examined: detection of inattentiveness (Sect. 2), detection of drowsiness (Sect. 3), and detection of medical emergencies (e.g., a heart attack; Sect. 4). The respective driver conditions are defined, relevant measuring variables and their corresponding measuring procedures present, and selected applications expanded upon. Section 5 addresses driver condition monitoring systems currently available on the market and names the measuring variables and procedures used by those systems, before giving a short overview of the problem of potential false alarms in Sect. 6.

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References

  • Blaschke C (2011) Fahrerzustandserkennung zur Optimierung von Spurhalteassistenzsystemen (Driver condition detection for optimization of lane keeping assistance systems). Dissertation, Universität der Bundeswehr München

    Google Scholar 

  • Continental (2013) Continental Counts on LEDs as Co-pilot, http://www.continental-corporation.com/www/pressportal_com_en/themes/press_releases/3_automotive_group/interior/press_releases/pr_2013_02_07_driver_focus_en.html

  • D’Angelo LT, Lüth T (2011) Integrierte Systeme zur ablenkungsfreien Vitalparametermessung in Fahrzeugen (Integrated Systems for distraction-free measurement of vital signs in vehicles). Automobiltechnische Zeitschrift (Automotive technical review) (ATZ) 113(11):890–894

    Google Scholar 

  • Eilebrecht B, Wartzek T, Lem J, Vogt R, Leonhardt S (2011) Kapazitives Elektrokardiogrammmesssystem im Autositz (Capacitive electrocardiogram measurement system in car seat), In: Automobiltechnische Zeitschrift (Automotive technical review) (ATZ) 113(03):232–237

    Google Scholar 

  • Ford (2010) Ford Technology Newsbrief 08–2010: Driver Alert

    Google Scholar 

  • Hacker W (1989) Ermüdung (Fatigue). In: Greif S, Holling H, Nicholson N (eds) Arbeits- und Organisationspsychologie: Internationales Handbuch in Schlüsselbegriffen (Industrial and Organizational Psychology: International Handbook in keywords). Psychologie Verlags Union, München

    Google Scholar 

  • Hargutt V (2003) Das Lidschlussverhalten als Indikator für Aufmerksamkeits- und Müdigkeitsprozesse bei Arbeitshandlungen (The eyelid closure as an indicator of attention and fatigue processes at work acts), In: VDI Fortschritt-Bericht Nr. 17 (VDI progress report no. 17) (223), VDI Verlag, Düsseldorf

    Google Scholar 

  • Jan von T, Karnahl T, Seifert K, Hilgenstock J, Zobel R (2005) Don’t sleep and drive – VW’s fatigue detection technology, In: Proceedings – 19th international technical conference on the enhanced safety of vehicles, National Highway Traffic Safety Administration, Washington, DC

    Google Scholar 

  • Karrer-Gauß K (2011) Prospektive Bewertung von Systemen zur Müdigkeitserkennung: Ableitung von Gestaltungsempfehlungen zur Vermeidung von Risikokompensation aus empirischen Untersuchungen (Prospective evaluation of systems for drowsiness detection: derivation of design recommendations for the prevention of risk compensation from empirical studies), Dissertation, TU Berlin

    Google Scholar 

  • Klauer SG, Dingus TA, Neale VL, Sudweeks JD, Ramsey DJ (2006) The impact of driver inattention on near-crash/crash risk: an analysis using the 100-car naturalistic driving study data: report no. DOT HS 810 594, National Highway Traffic Safety Administration, Washington, DC

    Google Scholar 

  • Knipling RR, Wierwille WW (1994) Vehicle-based drowsy driver detection: current status and future prospects. In: IVHS America 4th annual meeting, Atlanta

    Google Scholar 

  • Kopf M (2005) Was nützt es dem Fahrer, wenn Fahrerinformations- und -assistenzsysteme etwas über ihn wissen? (How helpful is it for the driver when driver information systems and driver assistance systems know anything about him?). In: Maurer M, Stiller C (eds) Fahrerassistenzsysteme mit maschineller Wahrnehmung (Driver assistance systems with machine perception). Springer, Berlin/Heidelberg

    Google Scholar 

  • Kuroda K, Izumikawa I, Kouketsu O (2009) Logical mediation structures for Toyota’s driver support systems. In: Proceedings der international technical conference on the enhanced safety of vehicles (ESV), Stuttgart, Germany

    Google Scholar 

  • Lee JD, Young KL, Regan MA (2008) Defining driver distraction. In: Regan MA, Lee JD, Young KL (eds) Driver distraction – theory, effects and mitigation. CRC Press, Boca Raton

    Google Scholar 

  • Lindman M, Kovaceva J, Levin D, Svanberg B, Jakobsson L, Wiberg H (2012) A first glance at driver alert control in FOT-data, In: Proceedings der IRCOBI Konferenz, international research council on the biomechanics of injury, Zurich

    Google Scholar 

  • Luczak H (1983) Fatigue. In: Rohmert W, Rutenfranz J (eds) Praktische Arbeitsphysiologie (Practical Physiology). Georg Thieme Verlag, Stuttgart/New York

    Google Scholar 

  • McLean JR, Hoffman ER (1975) Steering reversals as a measure of driver performance and steering task difficulty. Hum Factors 17(3):248–256

    Article  Google Scholar 

  • Mirwaldt P, Bartels A, To T-B, Braer M, Malberg H, Zaunseder S, Lemmer K (2013) Evaluation von Sensoren zur kontaktlosen Messung der Herzrate im Fahrzeug (Evaluation of sensors for contactless measurement of the heart rate in the vehicle), In: VDI-Berichte 2205: Der Fahrer im 21. Jahrhundert (VDI Reports 2205: The driver in the 21st century), VDI Verlag, Düsseldorf

    Google Scholar 

  • Mirwaldt P, Bartels A, To T-B, Pascheka P (2012) Gestaltung eines Notfallassistenzsystems bei medizinisch bedingter Fahrunfähigkeit (Design of an emergency assistance system in medically related driving disability), In: 5. Tagung Fahrerassistenz (5th Meeting of driver assistance), München

    Google Scholar 

  • Missel J, Mehren D, Reichmann M, Lallinger M, Bernzen W, Weikert G (2013) Intelligent Drive – Entspannter und sicherer fahren (Intelligent Drive - Driving more relaxed and more safely), In: Automobiltechnische Zeitschrift (Automotive technical review) (ATZ) extra. No. 07/2013, pp. 96–104

    Google Scholar 

  • Nessenius D (2010) Der neue VW Passat (The new VW Passat). Automobiltechnische Zeitschrift (Automotive technical review) (ATZ) 112(12):916–925

    Google Scholar 

  • Nguyen-Dobinsky T-N, Jacob C, Dobinsky M (2010) Mobile Notfallassistenz – Herausforderungen (Mobile Emergency Assistance - challenges), In: Proceedings zum 3. Deutschen Ambient Assisted Living-Kongress (Proceedings of the 3rd German Ambient Assisted Living Congress), VDE Verlag GmbH, Berlin, Offenbach

    Google Scholar 

  • Pfromm M, Cieler S, Bruder R (2013) Driver assistance via optical information with spatial reference. In: Proceedings of the 16th international IEEE annual conference on intelligent transportation systems (ITSC 2013), The Hague

    Google Scholar 

  • Platho C, Pietrek A, Kolrep H (2013) Erfassung der Fahrermüdigkeit: Berichte der Bundesanstalt für Straßenwesen – Fahrzeugtechnik Heft F 89 (Detection of driver fatigue: Reports of the Federal Highway Research Institute - Automotive booklet F 89), Fachverlag NW in der Carl Schünemann Verlag GmbH, Bremen

    Google Scholar 

  • Poh M-Z, McDuff DJ, Picard RW (2010) Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt Express 18(10):10762–10774

    Article  Google Scholar 

  • Posner MI, Rafal RD (1987) Cognitive theories of attention and the rehabilitation of attentional deficits. In: Meier MJ, Benton AL, Diller L (eds) Neuropsychological rehabilitation. Churchill Livingstone, Edinburgh

    Google Scholar 

  • Rauch N, Schoch S, Krüger H-P (2007) Ermittlung von Fahreraufmerksamkeit aus Fahrverhalten (Determination of drivers’ attention handling), BMWi Project AKTIV-AS, Project FSA

    Google Scholar 

  • Regan MA, Hallett C, Gordon CP (2011) Driver distraction and driver inattention: definition, relationship and taxonomy. Acc Anal Prevent 43(5):1771–1781

    Article  Google Scholar 

  • Rohmert W (1984) Das Belastungs-Beanspruchungs-Konzept (The stress–strain concept), In: Zeitschrift für Arbeitswissenschaft (Journal of Ergonomics), vol. 1984, No. 4

    Google Scholar 

  • Schleicher R, Galley N, Briest S, Galley L (2008) Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? Ergonomics 51(7):982–1010

    Article  Google Scholar 

  • Schlick CM, Bruder R, Luczak H (2010) Arbeitswissenschaft (Ergonomics), Springer, Berlin [u. a.]

    Google Scholar 

  • Schramm T, Fuchs K, Wagner N, Bruder R (2009) Driver behaviour in a monotonous environment: a test track study, In: 16th world congress and exhibition on intelligent transport systems and services (ITS), Stockholm, Schweden

    Google Scholar 

  • Schopper M, Mehren D, Baumann M, Köhnlein J (2011) Der beste Unfall ist der, der nicht passiert (The best accident is the one who does not happen), In: Automobiltechnische Zeitschrift (Automotive technical review) (ATZ) extra. No. 12/2011, pp 100–109

    Google Scholar 

  • Schwalm M (2009) Pupillometrie als Methode zur Erfassung mentaler Beanspruchungen im automotiven Kontext (Pupillometry as a method for detecting mental stress in the automotive context), Dissertation, Universität des Saarlandes

    Google Scholar 

  • Sonnleitner A, Treder M, Simon M, Willmann S, Ewald A, Buchner A, Schrauf M (2014) Analysis and single-trial classification of EEG alpha spindles on prolonged brake reaction times during auditory distraction in a real road driving study. Accid Anal Prev 62(Jan):110–118

    Article  Google Scholar 

  • Trutschel U, Sirois B, Sommer D, Golz M, Edwards D (2011) An alertness measure of the past. In: Proceedings of the 6th international driving symposium on human factors in driver assessment, training and vehicle design, California, USA

    Google Scholar 

  • Vollrath M, Briest S, Schießl C, Drewes J, Becker U (2006) Ableitung von Anforderungen an Fahrerassistenzsysteme aus Sicht der Verkehrssicherheit: Berichte der Bundesanstalt für Straßenwesen – Fahrzeugtechnik Heft F 60 (Derivation of requirements for driver assistance systems from the perspective of road safety: Reports of the Federal Highway Research Institute - Automotive booklet F 60), Wirtschaftsverlag NW Verlag für neue Wissenschaft GmbH, Bremerhaven

    Google Scholar 

  • Waldmann P, Kaempchen N, Ardelt M, Homm F (2010) Der Nothalteassistent – abgesichertes Anhalten bei plötzlicher Fahrunfähigkeit des Fahrzeugführers (The Emergency Stopping assistant system – Safe stopping for sudden driving inability of the driver), In: Proceedings zum 3. Deutschen Ambient Assisted Living-Kongress (Proceedings of the 3rd German Ambient Assisted Living Congress), VDE Verlag GmbH, Berlin, Offenbach

    Google Scholar 

  • Wickens CD (2002) Multiple resources and performance prediction. Theor Issues Ergon Sci 3(2):159–177

    Article  Google Scholar 

  • Wierwille WW, Wreggit SS, Kirn CL, Ellsworth LA, Fairbanks RJ (1994) Research on vehicle-based driver status/performance monitoring, development, validation, and refinement of algorithms for detection of driver drowsiness. National Highway Traffic Safety Administration, Washington, DC

    Google Scholar 

  • Wylie CD, Shultz T, Miller JC, Mitler MM, Mackie RR (1996) Commercial motor vehicle driver fatigue and alertness study: technical summary. Federal Highway Administration, Washington, DC

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institut für Arbeitswissenschaft, Technische Universität Darmstadt, Otto-Berndt-Str. 2, 64287, Darmstadt, Germany

    Ingmar Langer & Bettina Abendroth

  2. Institute of Ergonomics and Human Factors, Technische Universität Darmstadt, Darmstadt, Germany

    Ralph Bruder

Authors
  1. Ingmar Langer
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  2. Bettina Abendroth
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  3. Ralph Bruder
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Corresponding author

Correspondence to Ingmar Langer .

Editor information

Editors and Affiliations

  1. Institute of Automotive Engineering, Technische Universität Darmstadt, Darmstadt, Germany

    Hermann Winner

  2. Continental Engineering Services GmbH, Frankfurt am Main, Germany

    Stephan Hakuli

  3. Continental AG, Frankfurt am Main, Germany

    Felix Lotz

  4. Institute of Automotive Engineering, Technische Universität Darmstadt, Darmstadt, Germany

    Christina Singer

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© 2016 Springer International Publishing Switzerland

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Langer, I., Abendroth, B., Bruder, R. (2016). Driver Condition Detection. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12352-3_38

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