This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Wearable Device for Traffic Safety - A Study on Estimating Drowsiness with Eyewear, JINS MEME
Technical Paper
2016-01-0118
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper presents detection technology for a driver monitoring system using JINS MEME, an eyewear-type wearable device. Serious accidents caused by human error such as dozing while driving or inattentive driving have been increasing recently in Japan. JINS MEME is expected to contribute to reducing the number of traffic deaths by constantly monitoring the driver with an ocular potential sensor. This paper also explains how a driver’s drowsiness level can be estimated from information on their blink rate, which can be calculated from the ocular potential.
Recommended Content
Technical Paper | A Sensor Fusion Digital-Map System for Driver Assistance |
Technical Paper | Design and Development of a High Horsepower Torque Sensing Variable Speed Drive |
Authors
Citation
Niwa, S., Yuki, M., Noro, T., Shioya, S. et al., "A Wearable Device for Traffic Safety - A Study on Estimating Drowsiness with Eyewear, JINS MEME," SAE Technical Paper 2016-01-0118, 2016, https://doi.org/10.4271/2016-01-0118.Also In
References
- U.S. Department of Transportation, National Highway Traffic Safety Administration TRAFFIC SAFETY FACTS Research Note DOT HS 812 101 Dec. 2014
- U.S. Department of Transportation, National Highway Traffic Safety Administration TRAFFIC SAFETY FACTS 2012, A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System DOT HS 812 032 2012
- U.S. Department of Transportation, National Highway Traffic Safety Administration TRAFFIC SAFETY FACTS, Crash/Stats, A Brief Statistical Summary DOT HS 812 115 2015
- Japan National Police Agency Traffic Bureau Status of Traffic Accidents in 2013 http://www.e-stat.go.jp/SG1/estat/Pdfdl.do?sinfid=000023626210 Sept. 2015
- May , J.F. , and Baldwin , C.L. Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies Proceedings of the Transportation Research Part F 12 218 224 2009 10.1016/j.trf.2008.11.005
- U.S. Department of Transportation Saving lives through advanced safety technology Intelligent Vehicle Initiative 2002 Annual Report 2003
- Knipling , R.F. , and Wierwille , W.W. Vehicle-Based Drowsy Driver Detection: Current Status and Future Prospects IVHS America Fourth Annual Meeting USA April 17-22, 1994
- Humpt , D. , Honzik , P. , Raso , P. , and Hyncica , O. Steering wheel motion analysis for detection of the driver’s drowsiness MACMESE 2011 Italy November 3-5, 2011
- McDonald , D.A. , Schwarz , C. , Brown , D.J. , and Brown , L.T. Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2012 56 2201 2205 10.1177/1071181312561464
- Berka , C. , Levendowski , D. , Westbrook , P. , Davis , G. , Lumicao , M.N. , Olmstead , E.R. , Popovic , M. , Zivkovic , T.V. , and Ramsey , K.C. Implementation of a Closed-Loop Real-Time EEG-Based Drowsiness Detection System: Effects of Feedback Alarms on Performance in a Driving Simulator 1st International Conference on Augmented Cognition 2005 NV, USA 2005
- Yu , X. Real-time Nonintrusive Detection of Driver Drowsiness Final Report of CENTER FOR TRANSPORTATION STUDIES Project 2008017 2009
- Smith , P. , Shah , M. , and Lob , N ad Vitoria Monitoring Head/Eye Motion for Driver Alertness with One Camera 15th International Conference on Pattern Recognition 4 636 642 2000 10.1109/ICPR.2000.902999
- Kithil , P. , Jones , R. , and McCuish , J. Driver Alertness Detection Research Using Capacitive Sensor Array SAE Technical Paper 2001-01-3057 2001 10.4271/2001-01-3057
- Sigari , M.H. , Pourshahabi , M.R. , Soryani , M. A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection Int. J. Advanced Science and Technology 64 73 100 2014 10.14257/ijast.2014.64.07
- Ohsuga , M. , Kamakura , Y. , Inoue , Y. , Noguchi , Y. , and Nopsuwanchai . R. Classification of Blink Waveforms Toward the Assessment of Driver’s Arousal Levels - An EOG Approach and the Correlation with Physiological Measures Proceedings of 7th International Conference, EPCE 2007 787 795 2007 10.1007/978-3-540-73331-7_86
- Hatakeyama , Y. Sensorama Simulator U.S. Patent, US8576081 B2, Filed January 20 2010 November 5 2013
- Wierwille , W.W. , Ellsworth , A.L. , Wreggit , S.S. , Fairbanks , J.R. , and Kirn , L.C. Research on Vehicle-Based Driver Status/Performance Monitoring; Development, Validation, and Refinement of Algorithms for Detection of Driver Drowsiness National Highway Traffic Safety Administration Final Report 1994
- Vitabile , S. , Paola , A. , D. , and Sorbello , F. A real-time non-intrusive FPGA-based drowsiness detection system J. Ambient Intelligence and Humanized Computing 2 251 262 2011 10.1007/s12652-011-0049-z
- Jo , J. , Lee , S.J. , Jung , H.G. , Park , K.R. , and Kim , J. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system Optical Engineering 50 12 127202 127202-24 2011 10.1117/1.3657506
- Victor , T. System and method for monitoring and managing driver attention loads U.S. patent, 20030181822A1 Feb 19 2003
- Akira , N. , Kenji , K. , Bertin , R., OD Anti-drowsing device and anti-drowsing method U.S. patent, 20100214087A1 Jan 24 2008
- Wu , X. , Miucic , R. , Yang , S. , Al-Stouhi , S. , Misener , J. , Bai , S. , and Chan , H.W. Cars Talk to Phones: A DSRC Based Vehicle-Pedestrian Safety System Proceedings of the Vehicular Technology Conference VTC Fall 1-7, 2014 10.1109/VTCFall.2014.6965898
- Tahmasbi-Sarvestani , A. , Kazemi , H. , Fallah , Y. , Naserian , M. et al. System Architecture for Cooperative Vehicle-Pedestrian Safety Applications Using DSRC Communication SAE Technical Paper 2015-01-0290 2015 10.4271/2015-01-0290
- Weiser , M. The world is not a desktop Interactions 7 8 Jan. 1994
- Ishii , H. , Ullmer , B. Tangible Bits: Towards Seamless Interfaces between People, Bits, and Atoms Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 234 241 1997 10.1145/258549.258715
- Moruzzi , G. , and Magoun , H.W. Brain stem reticular formation and activation of the EEG Electroencephalogr Clin Neurophysiol 1 4 455 73 Nov 1949
- Chieh , T.C. , Mustafa , M.M. , Hussain , A. , Farshad , S. , and Majlis , B.Y. Development of Vehicle Driver Drowsiness Detection System Using Electrooculogram (EOG) 1st International Conference on CCSP with Special Track on Biomedical Engineering 165 168 2005 10.1109/CCSP.2005.4977181
- Hu , S. , Zheng , G. Driver drowsiness detection with eyelid related parameters by Support Vector Machine Proceedings of the Expert Systems with Applications 36 7651 7658 2009 10.1016/j.eswa.2008.09.030
- Kitajima , H. , Numata , N. , Yamamoto , K. , and Goi , Y. Prediction of Automobile Driver Sleepiness Transaction of the Japan Society of Mechanical Engineers, C, 60 613 93 100 1997
- Hachisuka , S. , Ishida , K. , Enya , T. , Kamijo , M. Facial expression measurement for detecting driver drowsiness Proceeding of the 9th international conference on Engineering psychology and cognitive ergonomics 135 144 2011 10.1007/978-3-642-21741-8_16