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A Brain Wave-Verified Driver Alert System for Vehicle Collision Avoidance

Journal Article
09-09-01-0002
ISSN: 2327-5626, e-ISSN: 2327-5634
DOI: https://doi.org/10.4271/09-09-01-0002
Published April 30, 2021 by SAE International in United States
A Brain Wave-Verified Driver Alert System for Vehicle Collision Avoidance
Sector:
Citation: Riyahi, P., Eskandarian, A., and Zhang, C., "A Brain Wave-Verified Driver Alert System for Vehicle Collision Avoidance," SAE Int. J. Trans. Safety 9(1):105-122, 2021, https://doi.org/10.4271/09-09-01-0002.
Language: English

References

  1. NHTSA 2017
  2. Heijden , R. , and Marchau , V. Advanced Driver Assistance Systems: Behavioural Implications of Some Recent Developments European Journal of Transport and Infrastructure Research 5 4 2005 239 252
  3. Eskandarian , A. Handbook of Intelligent Vehicles 1st London Springer-Verlag London 2012
  4. BMW 2019
  5. Wang , S. , Zhang , Y. , Wu , C. , Darvas , F. et al. Online Prediction of Driver Distraction Based on Brain Activity Patterns IEEE Transactions on Intelligent Transportation Systems 16 1 2015 136 150
  6. Vicente , F. , Huang , Z. , Xiong , X. , De la Torre , F. et al. Driver Gaze Tracking and Eyes Off the Road Detection System IEEE Transactions on Intelligent Transportation Systems 16 4 2015 2014 2027
  7. Zhang , Ce and Eskandarian , A. IEEE/CAA Journal of Automatica Sinica 10.1109/JAS.2020.1003450
  8. Vasli , B. , Martin , S. , and Trivedi , M.M. On Driver Gaze Estimation: Explorations and Fusion of Geometric and Data Driven Approaches 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Rio de Janeiro, Brazil 2016
  9. Alizadeh , V. and Dehzangi , O. The Impact of Secondary Tasks on Drivers during Naturalistic Driving: Analysis of EEG Dynamics 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Rio de Janeiro, Brazil 2016
  10. Porcaro , C. , Ostwald , D. , Hadjipapas , A. , Barnes , G.R. et al. The Relationship between the Visual Evoked Potential and the Gamma Band Investigated by Blind and Semi-Blind Methods NeuroImage 56 3 2011 1059 1071
  11. Fazel-Rezai , R. Brain-Computer Interface Systems Recent Progress and Future Prospects IntechOpen 2013 196 213 10.5772/50696
  12. Liu , Y. , Wei , Q. , and Lu , Z. A Multi-target Brain-Computer Interface Based on Code Modulated Visual Evoked Potentials PLOS ONE 13 8 2018 e0202478
  13. Zhang , Y. , Zhou , G. , Jin , J. , Wang , X. et al. Frequency Recognition in SSVEP-Based BCI Using Multiset Canonical Correlation Analysis International Journal of Neural Systems 24 2014 1450013
  14. Chen , X. , Wang , Y. , Gao , S. , Jung , T.-P. et al. Filter Bank Canonical Correlation Analysis for Implementing a High-Speed SSVEP-Based Brain-Computer Interface Journal of Neural Engineering 12 4 2015 046008
  15. Liu , T. , Zhang , Y. , Wang , L. , Li , J. et al. Fusing Canonical Coefficients for Frequency Recognition in SSVEP-Based BCI IEEE Access 7 2019 52467 52472
  16. Zhao , J. , Zhang , W. , Wang , J.H. , Li , W. et al. Decision-Making Selector (DMS) for Integrating CCA-Based Methods to Improve Performance of SSVEP-Based BCIs IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 5 2020 1128 1137
  17. Hanh , V. , Koo , B. , and Choi , S. Frequency Detection for SSVEP-Based BCI Using Deep Canonical Correlation Analysis 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Budapest 2016
  18. Wei , Q. , Zhu , S. , Wang , Y. , Gao , X. et al. Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs IEEE Access 7 2019 85452 85461
  19. Zhang , C. and Eskandarian , A. A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Montreal, Canada 2020
  20. Zhang , Ce , Kim , Y. , and Eskandarian , A. Journal of Neural Engineering 2021
  21. Resalat , S.N. , Saba , V. , and Afdideh , F. A Novel System for Driver’s Sleepiness Detection Using SSVEP The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012) Fars, Iran 2012
  22. Hashemi , A. , Saba , V. , and Resalat , S.N. Real Time Driver’s Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering Light Basic Clin Neurosci 5 1 2014 22 27
  23. Tenghuan , H. , Luzheng , B. , Jinling , L. , and Huafei , S. A Brain Signals-Based Interface between Drivers and In-Vehicle Devices 2016 IEEE Intelligent Vehicles Symposium (IV) Gothenburg, Sweden 2016
  24. Fan , X. , Bi , L. , Teng , T. , Ding , H. et al. A Brain-Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals IEEE Transactions on Intelligent Transportation Systems 16 1 2015 274 283
  25. Puce , A. , and Hämäläinen , M.S. A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies Brain Sci 7 6 2017 58
  26. Thompson , B. Canonical Correlation Analysis Encyclopedia of Statistics in Behavioral Science 2005
  27. Nakanishi , M. , Wang , Y. , Wang , Y.-T. , and Jung , T.-P. A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials PLOS ONE 10 10 2015 e0140703
  28. Whittle , P. Hypothesis Testing in Time Series Analysis Uppsala Almqvist & Wiksell boktrykerei 1951
  29. https://www.gtec.at/
  30. Shannon , C.E. A Mathematical Theory of Communication The Bell System Technical Journal 27 3 1948 379 423
  31. Singh , S. , and Yadav , K.L. Performance Evaluation of Different Adaptive Filters for ECG Signal Processing International Journal on Computer Science and Engineering 2 5 2010 1880 1883
  32. Riyahi , P. and Eskandarian , A. 2013 ASME International Mechanical Engineering Congress and Exposition San Diego, California, USA 2013
  33. Marquardt , D.W. An Algorithm for Least-Squares Estimation of Nonlinear Parameters Journal of the Society for Industrial and Applied Mathematics 11 2 1963 431 441
  34. Ali , H.S. Adaptive Filters John Wiley & Sons, Inc., 2008 501 508
  35. Kalman , R.E. A New Approach to Linear Filtering and Prediction Problems Journal of Basic Engineering 82 1 1960 35 45
  36. Sayed , A. Adaptive Filters New York John Wiley & Sons 2008
  37. Riyahi , P. and Eskandarian , A. A Robust Gauss-Newton Algorithm for Analyzing Steady-State Visual Evoked Potentials 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) San Diego, CA 2013 1323 1326

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