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Volumn 17, Issue 4, 2016, Pages 1108-1120

Driver Distraction Detection Using Semi-Supervised Machine Learning

Author keywords

Advanced driver assistance system; driver distraction; eye movement; machine learning; semi supervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMOBILE DRIVERS; COSTS; EYE MOVEMENTS; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; SUPERVISED LEARNING;

EID: 84949844120     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2015.2496157     Document Type: Article
Times cited : (196)

References (52)
  • 2
    • 85123156956 scopus 로고    scopus 로고
    • Sources of distraction inside the vehicle and their effects on driving performance
    • Boca Raton, FL, USA: CRC Press
    • M. Bayly, K. L. Young, and M. A. Regan, "Sources of distraction inside the vehicle and their effects on driving performance," in Driver Distraction: Theory, Effects, and Mitigation. Boca Raton, FL, USA: CRC Press, 2008, pp. 119-213.
    • (2008) Driver Distraction: Theory, Effects, and Mitigation , pp. 119-213
    • Bayly, M.1    Young, K.L.2    Regan, M.A.3
  • 3
    • 0027618540 scopus 로고
    • The effect of cellular phone use upon driver attention
    • Jun.
    • A. J. McKnight and A. S. McKnight, "The effect of cellular phone use upon driver attention," Accid. Anal. Prev., vol. 25, no. 3, pp. 259-265, Jun. 1993.
    • (1993) Accid. Anal. Prev. , vol.25 , Issue.3 , pp. 259-265
    • McKnight, A.J.1    McKnight, A.S.2
  • 4
    • 77958186631 scopus 로고    scopus 로고
    • Trends in fatalities from distracted driving in the United States, 1999 to 2008
    • Nov.
    • F. A. Wilson and J. P. Stimpson, "Trends in fatalities from distracted driving in the United States, 1999 to 2008," Amer. J. Public Health, vol. 100, no. 11, pp. 2213-2219, Nov. 2010.
    • (2010) Amer. J. Public Health , vol.100 , Issue.11 , pp. 2213-2219
    • Wilson, F.A.1    Stimpson, J.P.2
  • 5
    • 19744380478 scopus 로고    scopus 로고
    • Effects of visual and cognitive load in real and simulated motorway driving
    • Mar.
    • J. Engström, E. Johansson, and J. Östlund, "Effects of visual and cognitive load in real and simulated motorway driving," Transp. Res. Part F, Traffic Psychol. Behav., vol. 8, no. 2, pp. 97-120, Mar. 2005.
    • (2005) Transp. Res. Part F, Traffic Psychol. Behav. , vol.8 , Issue.2 , pp. 97-120
    • Engström, J.1    Johansson, E.2    Östlund, J.3
  • 6
    • 33646478480 scopus 로고    scopus 로고
    • in Distracted driving, Australian College Road Safety, Sydney, NSW, Australia
    • K. Young and M. Regan, "Driver distraction: A review of the literature," in Distracted driving, Australian College Road Safety, Sydney, NSW, Australia, 2007, pp. 379-405.
    • (2007) Driver Distraction: A Review of the Literature , pp. 379-405
    • Young, K.1    Regan, M.2
  • 8
    • 84892180102 scopus 로고    scopus 로고
    • Distracted driving and risk of road crashes among novice and experienced drivers
    • Jan.
    • S. G. Klauer et al., "Distracted driving and risk of road crashes among novice and experienced drivers," New England J. Med., vol. 370, no. 1, pp. 54-59, Jan. 2014.
    • (2014) New England J. Med. , vol.370 , Issue.1 , pp. 54-59
    • Klauer, S.G.1
  • 10
    • 33845946535 scopus 로고    scopus 로고
    • Identification of real-time diagnostic measures of visual distraction with an automatic eye-tracking system
    • Winter
    • H. Zhang, M. R. H. Smith, and G. J. Witt, "Identification of real-time diagnostic measures of visual distraction with an automatic eye-tracking system," Human Factors, vol. 48, no. 4, pp. 805-821, Winter 2006.
    • (2006) Human Factors , vol.48 , Issue.4 , pp. 805-821
    • Zhang, H.1    Smith, M.R.H.2    Witt, G.J.3
  • 11
    • 85072436059 scopus 로고    scopus 로고
    • Development of a steering entropy method for evaluating driver workload
    • Detroit, MI, USA, Tech. Rep. 1999-01-0892, Mar.
    • O. Nakayama, T. Futami, T. Nakamura, and E. R. Boer, "Development of a steering entropy method for evaluating driver workload," Soc. Autom. Eng. (SAE), Detroit, MI, USA, Tech. Rep. 1999-01-0892, Mar. 1999.
    • (1999) Soc. Autom. Eng. (SAE)
    • Nakayama, O.1    Futami, T.2    Nakamura, T.3    Boer, E.R.4
  • 13
    • 85007263669 scopus 로고    scopus 로고
    • Driver workload detection in on-road driving environment using machine learning
    • ser. Proceedings in Adaptation Learning and Optimization, vol. 4. Cham, Switzerland: Springer-Verlag
    • Y. Yang, H. Sun, T. Liu, G.-B. Huang, and O. Sourina, "Driver workload detection in on-road driving environment using machine learning," in Proc. ELM-2014 Volume 2, ser. Proceedings in Adaptation Learning and Optimization, vol. 4. Cham, Switzerland: Springer-Verlag, 2015, pp. 389-398.
    • (2015) Proc. ELM-2014 Volume 2 , pp. 389-398
    • Yang, Y.1    Sun, H.2    Liu, T.3    Huang, G.-B.4    Sourina, O.5
  • 14
    • 85042799391 scopus 로고    scopus 로고
    • Gaze fixation system for the evaluation of driver distractions induced by IVIS
    • Sep.
    • P. Jiménez, L. Bergasa, J. Nuevo, N. Hernńdez, and I. Daza, "Gaze fixation system for the evaluation of driver distractions induced by IVIS," IEEE Trans. Intell. Transp. Syst., vol. 13, no. 3, pp. 1167-1178, Sep. 2012.
    • (2012) IEEE Trans. Intell. Transp. Syst. , vol.13 , Issue.3 , pp. 1167-1178
    • Jiménez, P.1    Bergasa, L.2    Nuevo, J.3    Hernńdez, N.4    Daza, I.5
  • 16
    • 84922478095 scopus 로고    scopus 로고
    • Predicting perceived visual and cognitive distractions of drivers with multimodal features
    • Feb.
    • N. Li and C. Busso, "Predicting perceived visual and cognitive distractions of drivers with multimodal features," IEEE Trans. Intell. Transp. Syst., vol. 16, no. 1, pp. 51-65, Feb. 2015.
    • (2015) IEEE Trans. Intell. Transp. Syst. , vol.16 , Issue.1 , pp. 51-65
    • Li, N.1    Busso, C.2
  • 18
    • 34249865344 scopus 로고    scopus 로고
    • Real-time detection of driver cognitive distraction using support vector machines
    • Jun.
    • Y. Liang, M. L. Reyes, and J. D. Lee, "Real-time detection of driver cognitive distraction using support vector machines," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 340-350, Jun. 2007.
    • (2007) IEEE Trans. Intell. Transp. Syst. , vol.8 , Issue.2 , pp. 340-350
    • Liang, Y.1    Reyes, M.L.2    Lee, J.D.3
  • 19
    • 40449084536 scopus 로고    scopus 로고
    • Nonintrusive detection of driver cognitive distraction in real time using Bayesian networks
    • Dec.
    • Y. Liang, J. D. Lee, and M. L. Reyes, "Nonintrusive detection of driver cognitive distraction in real time using Bayesian networks," J. Transp. Res. Rec., vol. 2018, no. 1, pp. 1-8, Dec. 2007.
    • (2007) J. Transp. Res. Rec. , vol.2018 , Issue.1 , pp. 1-8
    • Liang, Y.1    Lee, J.D.2    Reyes, M.L.3
  • 20
    • 79958176949 scopus 로고    scopus 로고
    • Online driver distraction detection using long short-term memory
    • Jun.
    • M. Wollmer et al., "Online driver distraction detection using long short-term memory," IEEE Trans. Intell. Transp. Syst., vol. 12, no. 2, pp. 574-582, Jun. 2011.
    • (2011) IEEE Trans. Intell. Transp. Syst. , vol.12 , Issue.2 , pp. 574-582
    • Wollmer, M.1
  • 21
    • 84878712470 scopus 로고    scopus 로고
    • Real-time detection system of driver distraction using machine learning
    • Jun.
    • F. Tango and M. Botta, "Real-time detection system of driver distraction using machine learning," IEEE Trans. Intell. Transp. Syst., vol. 14, no. 2, pp. 894-905, Jun. 2013.
    • (2013) IEEE Trans. Intell. Transp. Syst. , vol.14 , Issue.2 , pp. 894-905
    • Tango, F.1    Botta, M.2
  • 22
    • 84889672828 scopus 로고    scopus 로고
    • A hybrid Bayesian network approach to detect driver cognitive distraction
    • Jan.
    • Y. Liang and J. D. Lee, "A hybrid Bayesian network approach to detect driver cognitive distraction," Transp. Res. Part C, Emerging Technol., vol. 38, pp. 146-155, Jan. 2014.
    • (2014) Transp. Res. Part C, Emerging Technol. , vol.38 , pp. 146-155
    • Liang, Y.1    Lee, J.D.2
  • 23
    • 84883815415 scopus 로고    scopus 로고
    • Visual analysis of eye state and head pose for driver alertness monitoring
    • Sep.
    • R. Oyini Mbouna, S. G. Kong, and M.-G. Chun, "Visual analysis of eye state and head pose for driver alertness monitoring," IEEE Trans. Intell. Transp. Syst., vol. 14, no. 3, pp. 1462-1469, Sep. 2013.
    • (2013) IEEE Trans. Intell. Transp. Syst. , vol.14 , Issue.3 , pp. 1462-1469
    • Oyini Mbouna, R.1    Kong, S.G.2    Chun, M.-G.3
  • 24
    • 33745456231 scopus 로고    scopus 로고
    • Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, USA, Tech. Rep. 1530
    • X. Zhu, "Semi-supervised learning literature survey," Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, USA, Tech. Rep. 1530, 2005.
    • (2005) Semi-supervised Learning Literature Survey
    • Zhu, X.1
  • 26
    • 85141919230 scopus 로고
    • Unsupervised word sense disambiguation rivaling supervised methods
    • D. Yarowsky, "Unsupervised word sense disambiguation rivaling supervised methods," in Proc. 33rd Annu. Meet. Assoc. Comput. Linguistics, 1995, pp. 189-196.
    • (1995) Proc. 33rd Annu. Meet. Assoc. Comput. Linguistics , pp. 189-196
    • Yarowsky, D.1
  • 27
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • San Francisco, CA, USA
    • T. Joachims, "Transductive inference for text classification using support vector machines," in Proc.16th ICML, San Francisco, CA, USA, 1999, pp. 200-209.
    • (1999) Proc.16th ICML , pp. 200-209
    • Joachims, T.1
  • 28
    • 33749257143 scopus 로고    scopus 로고
    • A continuation method for semisupervised SVMs
    • New York, NY, USA
    • O. Chapelle, M. Chi, and A. Zien, "A continuation method for semisupervised SVMs," in Proc. 23rd ICML, New York, NY, USA, 2006, pp. 185-192.
    • (2006) Proc. 23rd ICML , pp. 185-192
    • Chapelle, O.1    Chi, M.2    Zien, A.3
  • 29
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Dec.
    • M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, Dec. 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 30
    • 84911944987 scopus 로고    scopus 로고
    • Semi-supervised and unsupervised extreme learning machines
    • Dec.
    • G. Huang, S. Song, J. Gupta, and C. Wu, "Semi-supervised and unsupervised extreme learning machines," IEEE Trans. Cybern., vol. 44, no. 12, pp. 2405-2417, Dec. 2014.
    • (2014) IEEE Trans. Cybern. , vol.44 , Issue.12 , pp. 2405-2417
    • Huang, G.1    Song, S.2    Gupta, J.3    Wu, C.4
  • 31
    • 77956345258 scopus 로고    scopus 로고
    • Driving safety monitoring using semisupervised learning on time series data
    • Sep.
    • J. Wang, S. Zhu, and Y. Gong, "Driving safety monitoring using semisupervised learning on time series data," IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 728-737, Sep. 2010.
    • (2010) IEEE Trans. Intell. Transp. Syst. , vol.11 , Issue.3 , pp. 728-737
    • Wang, J.1    Zhu, S.2    Gong, Y.3
  • 32
    • 84863357165 scopus 로고    scopus 로고
    • Adaptive regularization for transductive support vector machine
    • Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, and A. Culotta, Eds. Curran Associates
    • Z. Xu et al., "Adaptive regularization for transductive support vector machine," in Proc. 23rd Annu. Conf. NIPS, Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, and A. Culotta, Eds. Curran Associates, 2009, pp. 2125-2133.
    • (2009) Proc. 23rd Annu. Conf. NIPS , pp. 2125-2133
    • Xu, Z.1
  • 33
    • 84883822654 scopus 로고    scopus 로고
    • Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management
    • Oct.
    • V. Garla, C. Taylor, and C. Brandt, "Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management," J. Biomed. Informat., vol. 46, no. 5, pp. 869-875, Oct. 2013.
    • (2013) J. Biomed. Informat. , vol.46 , Issue.5 , pp. 869-875
    • Garla, V.1    Taylor, C.2    Brandt, C.3
  • 36
    • 84970039643 scopus 로고    scopus 로고
    • Detection of drivers distraction using semi-supervised extreme learning machine
    • ser. Proceedings in Adaptation Learning and Optimization, vol. 4. Cham, Switzerland: Springer-Verlag
    • T. Liu, Y. Yang, G.-B. Huang, and Z. Lin, "Detection of drivers distraction using semi-supervised extreme learning machine," in Proc. ELM-2014 Volume 2, ser. Proceedings in Adaptation Learning and Optimization, vol. 4. Cham, Switzerland: Springer-Verlag, 2015, pp. 379-387.
    • (2015) Proc. ELM-2014 Volume 2 , pp. 379-387
    • Liu, T.1    Yang, Y.2    Huang, G.-B.3    Lin, Z.4
  • 39
    • 79955855934 scopus 로고    scopus 로고
    • Laplacian support vector machines trained in the primal
    • Feb.
    • S. Melacci and M. Belkin, "Laplacian support vector machines trained in the primal," J. Mach. Learn. Res., vol. 12, pp. 1149-1184, Feb. 2011.
    • (2011) J. Mach. Learn. Res. , vol.12 , pp. 1149-1184
    • Melacci, S.1    Belkin, M.2
  • 40
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • Dec.
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, no. 1-3, pp. 489-501, Dec. 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 41
    • 84859007933 scopus 로고    scopus 로고
    • Extreme learning machine for regression and multiclass classification
    • Apr.
    • G.-B. Huang, H. Zhou, X. Ding, and R. Zhang, "Extreme learning machine for regression and multiclass classification," IEEE Trans. Syst. Man. Cybern. Part B, Cybern., vol. 42, no. 2, pp. 513-529, Apr. 2012.
    • (2012) IEEE Trans. Syst. Man. Cybern. Part B, Cybern. , vol.42 , Issue.2 , pp. 513-529
    • Huang, G.-B.1    Zhou, H.2    Ding, X.3    Zhang, R.4
  • 42
    • 19744364228 scopus 로고    scopus 로고
    • Surrogate in-vehicle information systems and driver behaviour: Effects of visual and cognitive load in simulated rural driving
    • Mar.
    • A. H. Jamson and N. Merat, "Surrogate in-vehicle information systems and driver behaviour: Effects of visual and cognitive load in simulated rural driving," Transp. Res. Part F, Traffic Psychol. Behav., vol. 8, no. 2, pp. 79-96, Mar. 2005.
    • (2005) Transp. Res. Part F, Traffic Psychol. Behav. , vol.8 , Issue.2 , pp. 79-96
    • Jamson, A.H.1    Merat, N.2
  • 49
    • 34247849152 scopus 로고    scopus 로고
    • Training a support vector machine in the primal
    • May
    • O. Chapelle, "Training a support vector machine in the primal," Neural Comput., vol. 19, no. 5, pp. 1155-1178, May 2007.
    • (2007) Neural Comput. , vol.19 , Issue.5 , pp. 1155-1178
    • Chapelle, O.1
  • 50
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • May
    • C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, May 2011, Art. No. 27.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3
    • Chang, C.-C.1    Lin, C.-J.2
  • 52
    • 84886483781 scopus 로고    scopus 로고
    • Influence of graph construction on semi-supervised learning
    • ser. Lecture Notes in Computer Science, Berlin, Germany: Springer-Verlag
    • C. A. R. de Sousa, S. O. Rezende, and G. E. A. P. A. Batista, "Influence of graph construction on semi-supervised learning," in Machine Learning and Knowledge Discovery in Databases, ser. Lecture Notes in Computer Science, vol. 8190. Berlin, Germany: Springer-Verlag, 2013, pp. 160-175.
    • (2013) Machine Learning and Knowledge Discovery in Databases , vol.8190 , pp. 160-175
    • De Sousa, C.A.R.1    Rezende, S.O.2    Batista, G.E.A.P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.