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An Experiment to Non-Intrusively Collect Physiological Parameters towards Driver State Detection
Technical Paper
2007-01-0403
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Acquiring drivers’ physiological parameters is helpful for driver assistance systems to reliably estimate drivers’ comprehensive mental states, but traditional methods of measurements have to intrusively attach sensors or fasten electrodes to the body. Intrusive methods of measurement are acceptable in experimental settings but unacceptable as routine operation in daily driving. In this paper, the Smart Wheel System is introduced. The Smart Wheel System is a prototype system that collects the following cognition/emotion physiological signals: blood volume pulse, skin conductance, skin temperature, and respiration wave. It uses embedded sensors and electrodes in steering wheel and seat belt with near-zero interference. Due to the fact that hand and body movements cause temporary gap in the real-time data stream, gripping force and gripping position are collected as indicative data to compensate breaks in the physiological data stream. In the current experiments, FlexComp biofeedback system is used as a standard test instrument to verify the performance of the Smart Wheel System. The correlations between the Smart Wheel System and the FlexComp measurements range from 0.85 to 0.96. The average measurement errors range from −6% to 10%. The results show that the Smart Wheel System can be used to provide good real-time physiological parameters for onboard intelligent systems to monitor driver mental states non-intrusively.
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Authors
Citation
Cai, H. and Lin, Y., "An Experiment to Non-Intrusively Collect Physiological Parameters towards Driver State Detection," SAE Technical Paper 2007-01-0403, 2007, https://doi.org/10.4271/2007-01-0403.Also In
References
- Bolton M.P. McGuinness K. Cooley J. Hayes L. Howell A. 2001 Technical note: A compact data logger for ambulatory skin temperature measurement Journal of Medical Engineering and Technology 25 6 p 264 268
- Chen W.H. Lin C.Y. Doong J.L. 2005 Effects of interface workload of in-vehicle information systems on driving safety Transportation Research Record, n 1937 2005 p 73 78
- Daanen H.A.M. Van De Vliert E. Huang X. 2003 Driving performance in cold, warm, and thermo neutral environments Applied Ergonomics 34 6 p 597 602
- Desai A.V. Haque M.A. 2006 Vigilance monitoring for operator safety: A simulation study on highway driving Journal of Safety Research 37 2 p 139 147
- Dula C.S. Geller E. S. 2004 Risky, aggressive, or emotional driving: Addressing the need for consistent communication in research Journal of Safety Research 34 5 p 559 566
- Durkin J.L. Harvey A. Hughson R.L. Callaghan J.P. 2006 The effects of lumbar massage on muscle fatigue, muscle oxygenation, low back discomfort, and driver performance during prolonged driving Ergonomics 49 1 p 28 44
- European Telematics 2004 An Introduction to Advanced Driver Assistance Systems in Europe. SBD/TEL/260
- Fuller R. 2005 Towards a general theory of driver behaviour Accident Analysis and Prevention 37 3 p 461 472
- Gimeno P.T. Cerezuela G.P. Montanes M.C. 2006 On the concept and measurement of driver drowsiness, fatigue and inattention: Implications for countermeasures International Journal of Vehicle Design 42 1-2 p 67 86
- Goulev P. Mamdani E. 2004 Utilizing real time Affective Sensors to incorporate emotions into Human Computer Interactions International Workshop on Wearable and implantable body sensor Networks Imperial College, London 14 16
- Hamada T. Adachi K. Nakano T. Yamamoto S. 2004 Detecting Method Applicable to Individual Features for Drivers’ Drowsiness IEICE Transactions on Information and Systems, E87-D(1) p 89 96
- Healey J.A. 2000 Wearable and Automotive Systems for Affect Recognition from Physiology PhD dissertation, MIT
- Ji Q. Zhu Z. Lan P. 2004 Real Time Nonintrusive Monitoring and Prediction of Driver Fatigue IEEE Trans. Veh. Technollogy 53 4 p 1052 1068
- Kim K. H. Bang S. W. Kim S. R. 2004 Emotion recognition system using short-term monitoring of physiological signals Medical & Biological Engineering & Computing 42
- Kopf M. Allen P. Becker S. Cieler S. Dilger E. Krautter W. 1999 Checklist for theoretical Assessment of Adcanced Driver Assistance Systems: Methods, Results, and Assessment of Applicability EU Reponse Project TR4022
- Li X. Ji Q. 2005 Active Affective State Detection and User Assistance with Dynamic Bayesian Networks IEEE Transactions on Systems, Man, and Cybernetics: Special Issue on Ambient Intelligence 35 1 p 93 105
- Lin Y. Leng H. Cai H. Yang G. 2007 An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement IEEE Sensors Journal Special Issue on Intelligent Sensors (to appear)
- Lin Y. Leng H. Cai H. 2006 A Study on Driver's Physiological Non-intrusive Monitoring in a Virtual Environment The 50th Human Factors and Ergonomics Annual Meeting San Francisco Oct 16 20 2707 2711
- Lisetti C.L. Nasoz F. 2004 Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals EURASIP Journal on Applied Signal Processing 2004 11 1672 1687
- NHTSA. TRAFFIC SAFETY FACTS 2004 Table 65
- Ross R. Antonowicz D. 2004 Antisocial Drivers Charles C Thomas Publisher Illinois, USA 86 86 164
- Schmeidler K. 2002 Acceptance of advanced assistance systems by Czech drivers. 15th ICTCT workshop EU project ADVISORS
- Stanton N.A. Chambers P.R.G. Piggott J. 2001 Situational awareness and safety Safety Science 39 3 p 189 204
- Stanton N.A. Young M.S. 2005 Driver behaviour with Adaptive Cruise Control Ergonomics 48 10 1294 1313
- Strauss M. Reynolds C. Hughes S. Park K. McDarby G. Picard R.W. 2005 The HandWave Bluetooth Skin Conductance Sensor ACII 699 706
- Thought technology, ProComp, FlexComp http://www.thoughttechnology.com/index.htm
- Ueda M. Taniguchi Y. Asano A. Mochizuki M. Ikegami T. Kawai T. 1997 Automobile heating, ventilating and air conditioning (HVAC) system with a neural network for controlling the thermal sensations felt by a passenger JSME International Journal, Series B 40 3 p 469 477
- Walton D. Thomas J.A. 2005 Naturalistic observations of driver hand positions. Transportation Research Part F Traffic Psychology and Behaviour 8 3 p 229 238
- Wilson G.F. Russell C.A. 2003 Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks Human Factors 45 4 635 643
- Young M.S. Stanton N.A. 2004 Taking the load off: investigations of how adaptive cruise control affects mental workload Ergonomics 47 9 1014 1035 22
- Zeitlin L.R. 1998 Micromodel for objective estimation of driver mental workload from task data Transportation Research Record, n 1631 p 28 34