Extended Database of Biometrics Research for Automotive Applications

 

Welcome to our Extended Database for Automotive Biometric Applications. We hope you enjoyed our Automotive Biometrics Research Survey and we invite you to take advantage of our additional sources.  This database contains the sources listed in the survey and additional sources that were not listed with additional works relevant in the field  that address other topics such as using biometrics in VANET security and privacy protocols.

 

Sources Listed in Survey

Additional Sources

 

Sources Listed in Survey

  1. M. Gofman and M. Villa, “Extended database of biometrics research
    for automotive applications.” http://www.fullerton.edu/
    cybersecurity/research/Extended-Database-of-Biometrics-
    Research-for-Automotive-Applications.php, Oct 2017.
  2. NHTSA, “Drunk driving.” https://www:nhtsa:gov/riskydriving/
    drunk-driving, Jan 2017.
  3. N. H. T. S. Administration et al., “Early estimate of motor
    vehicle traffic fatalities for the first 9 months of 2016.” https://
    crashstats:nhtsa:dot:gov/Api/Public/ViewPublication/812358,
    Jan 2017.
  4. R. Ivers, T. Senserrick, S. Boufous, M. Stevenson, H.-Y. Chen,
    M. Woodward, and R. Norton, “Novice drivers’ risky driving
    behavior, risk perception, and crash risk findings from
    the drive study.” https://www:ncbi:nlm:nih:gov/pmc/articles/
    PMC2724457/, Sep 2009.
  5. M. Gutmann, P. Grausberg, and K. Kyamakya, “Detecting human
    driver’s physiological stress and emotions using sophisticated
    one-person cockpit vehicle simulator,” in Information Technologies
    in Innovation Business Conference (ITIB), 2015, pp. 15–18, IEEE, 2015.
  6. H. B. Lee, J. M. Choi, J. S. Kim, Y. S. Kim, H. J. Baek, M. S. Ryu,
    R. H. Sohn, and K. S. Park, “Nonintrusive biosignal measurement
    system in a vehicle,” in Engineering in Medicine and Biology Society,
    2007. EMBS 2007. 29th Annual International Conference of the IEEE,
    pp. 2303–2306, IEEE, 2007.
  7. J. Pan and W. J. Tompkins, “A real-time qrs detection algorithm,”
    IEEE transactions on biomedical engineering, no. 3, pp. 230–236, 1985.
  8. R. Rathore and C. Gau, “Integrating biometric sensors into automotive
    internet of things,” in Cloud Computing and Internet of
    Things (CCIOT), 2014 International Conference on, pp. 178–181, 2014.
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    www:sgxsensortech:com/products-services/indoorautomotiveair-
    quality/automotive-air-quality-sensors/.
  10. Gestigon, “The future of mobility is not about cars.” http://
    www:gestigon:com/automotive-industry/.
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    based on handgrip recognition on steering wheel,” in Systems,
    Man, and Cybernetics (SMC), 2011 IEEE International Conference on,
    pp. 1645–1651, IEEE, 2011.
  13. K. Young, M. Regan, and M. Hammer, “Driver distraction: A
    review of the literature,” Distracted driving, pp. 379–405, 2007.
  14. O. Dehzangi and C. Williams, “Towards multi-modal wearable
    driver monitoring: Impact of road condition on driver distraction,”
    in Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE
    12th International Conference on, pp. 1–6, IEEE, 2015.
  15. O. Omeni, A. C. W. Wong, A. J. Burdett, and C. Toumazou,
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    301058/, Jan 2016.
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    www:digitaljournal:com/tech-and-science/technology/artificialintelligence-
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    Aug 2017.
  19. J. Lee, “Omron integrating facial recognition into autonomous
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    and J. Stadon, “Adaptive digital sunshade: blocking the sun from
    blinding the driver,” in Adjunct Proceedings of the 7th International
    Conference on Automotive User Interfaces and Interactive Vehicular
    Applications, pp. 78–83, ACM, 2015.
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  25.  F. Althoff, R. Lindl, L. Walchshausl, and S. Hoch, “Robust multimodal
    hand-and head gesture recognition for controlling automotive
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    2005.
  26. M. Billinghurst and B. Buxton, “Gesture based interaction,” Haptic
    Input, vol. 24, 2011.
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    Delgado, “Integration of body sensor networks and vehicular adhoc
    networks for traffic safety,” Sensors, vol. 16, no. 1, p. 107, 2016.
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  30.  K. A. Ishak, S. A. Samad, and A. Hussain, “A face detection and
    recognition system for intelligent vehicles,” Information Technology
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  31. S. Ben-Yacoub and B. Fasel, “Fast multi-scale face detection,”
    IDIAP, Switzerland, 1998.
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    cognitive neuroscience, vol. 3, no. 1, pp. 71–86, 1991.
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    vs. fisherfaces: Recognition using class specific linear projection,”
    IEEE Transactions on pattern analysis and machine intelligence, vol. 19,
    no. 7, pp. 711–720, 1997.
  34. W. Zhao, R. Chellappa, and A. Krishnaswamy, “Discriminant
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  35. H. A. Rowley, S. Baluja, and T. Kanade, “Human face detection in
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  36.  Z. Liu, “A new embedded car theft detection system,” in Embedded
    Software and Systems, 2005. Second International Conference on, pp. 6–
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    on principal component analysis and feedforward neural networks,”
    in Neural Networks, 2004. Proceedings. 2004 IEEE International
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  38. X. Chen, P. J. Flynn, and K. W. Bowyer, “Pca-based face recognition
    in infrared imagery: Baseline and comparative studies,” in
    Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE
    International Workshop on, pp. 127–134, IEEE, 2003.
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    pp. 84–91, 1994.
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    system using facing recognition,” in Neural Networks and Brain,
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    IEEE, 2005.
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  42. J. Kang, D. V. Anderson, and M. H. Hayes, “Face recognition in
    vehicles with near infrared frame differencing,” in Signal Processing
    and Signal Processing Education Workshop (SP/SPE), 2015 IEEE,
    pp. 358–363, IEEE, 2015.
  43. T. Sim, S. Baker, and M. Bsat, “The cmu pose, illumination, and expression
    (pie) database,” in Automatic Face and Gesture Recognition,
    2002. Proceedings. Fifth IEEE International Conference on, pp. 53–58,
    IEEE, 2002.
  44. S. Padmapriya and E. A. KalaJames, “Real time smart car lock
    security system using face detection and recognition,” in Computer
    Communication and Informatics (ICCCI), 2012 International Conference
    on, pp. 1–6, IEEE, 2012.
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    of on-line learning and an application to boosting,” in European
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  46. K. W. Bowyer, K. Chang, and P. Flynn, “A survey of approaches
    and challenges in 3d and multi-modal 3d+ 2d face recognition,”
    Computer vision and image understanding, vol. 101, no. 1, pp. 1–15,
    2006.
  47. “Cbcl face recognition database.” http://cbcl:mit:edu/softwaredatasets/
    heisele/facerecognition-database:html.
  48. Z. Zhu and F. Chen, “Fingerprint recognition-based access controlling
    system for automobiles,” in Image and Signal Processing (CISP),
    2011 4th International Congress on, vol. 4, pp. 1899–1902, IEEE, 2011.
  49. N. SUSHMITHA, B. SUPRIYA, and R. PRAJEESHAN, “Bio-metric
    automobile security,” 2015.
  50. 3pixelart.com. http://www:apexengineeringproject:com/
    display-product:php?id=AP106.
  51.  “libfprint api reference.” http://www:reactivated:net/fprint/
    api/.
  52. C. Folorunso, L. Akinyemi, A. Ajasa, and K. Oladipupo, “Design
    and development of fingerprint based car starting system,”
  53. J. B. Jadav, K. Wandra, and R. Dabhi, “Innovative automobile
    security system using various security modules,”
  54. N. Kiruthiga, S. Thangasamy, et al., “Real time biometrics based
    vehicle security system with gps and gsm technology,” Procedia
    Computer Science, vol. 47, pp. 471–479, 2015.
  55. A. B. A. L. KR, “Smart automobile security,”
  56. S. K. Kopparapu, “A robust speech biometric system for vehicle
    access,” in Vehicular Electronics and Safety (ICVES), 2009 IEEE
    International Conference on, pp. 174–177, IEEE, 2009.
  57. D. Nosowitz, “A car seat that authenticates the driver with
    butt recognition.” https://www:popsci:com/cars/article/2011-
    12/car-seat-recognizes-your-butt-security-and-fun, Dec 2011.
  58.  K. Igarashi, C. Miyajima, K. Itou, K. Takeda, F. Itakura, and
    H. Abut, “Biometric identification using driving behavioral signals,”
    in Multimedia and Expo, 2004. ICME’04. 2004 IEEE International
    Conference on, vol. 1, pp. 65–68, IEEE, 2004.
  59. I. D. Markwood and Y. Liu, “Vehicle self-surveillance: Sensorenabled
    automatic driver recognition,” in Proceedings of the 11th
    ACM on Asia Conference on Computer and Communications Security,
    pp. 425–436, ACM, 2016.
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    Wiley & Sons Inc, 1994.
  61. J. A. Adell and P. Jodr´a, “Exact kolmogorov and total variation
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    Inequalities and Applications, vol. 2006, no. 1, p. 64307, 2006.
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  63. “Future jaguar cars may recognize approaching drivers.” http:
    //findbiometrics:com/jaguar-cars-face-biometrics-311247/, Nov
    2016.
  64. “Jaguar files patent for vehicle access system with facial recognition
    and gait analysis.”
  65. S. Mayhew, “Ford granted patent for keyless biometric system
    for vehicles.” http://www:biometricupdate:com/201502/fordgranted-
    patent-for-keyless-biometric-system-for-vehicles, Feb
    2015.
  66. C. Lupu and V. Lupu, “Multimodal biometrics for access control
    in an intelligent car,” in Computational Intelligence and Intelligent
    Informatics, 2007. ISCIII’07. International Symposium on, pp. 261–
    267, IEEE, 2007.
  67. W. Yuan and Y. Tang, “The driver authentication device based
    on the characteristics of palmprint and palm vein,” in Hand-Based
    Biometrics (ICHB), 2011 International Conference on, pp. 1–5, IEEE,
    2011.
  68.  L. Yao, C. Lin, J. Deng, F. Deng, J. Miao, K. Yim, and G. Wu,
    “Biometrics-based data link layer anonymous authentication in
    vanets,” in Innovative Mobile and Internet Services in Ubiquitous
    Computing (IMIS), 2013 Seventh International Conference on, pp. 182–
    187, IEEE, 2013.

 

 

Additional Sources

  1.  “Real-time physiological signals - e4 eda/gsr sensor.” 
  2.  “Scott Brave and Clifford Nass. Emotion in human–computer interaction.
    Human-Computer Interaction, page 53, 2003.
  3. “David E Dass Jr, Alex Uyttendaele, and Jacques Terken. Haptic inseat
    feedback for lane departure warning. In Proceedings of the 5th
    International Conference on Automotive User Interfaces and Interactive
    Vehicular Applications, pages 258–261. ACM, 2013.
  4. “Benjamin H Detenber and Byron Reeves. A bio-informational theory
    of emotion: Motion and image size effects on viewers. Journal of
    Communication, 46(3):66–84, 1996.
  5. “Lori Grisham. Child deaths in hot cars: 10 key facts, Jul 2014.
  6. “Kenji Hagita and Kenji Mori. The effect of sun glare on traffic accidents
    in chiba prefecture, japan. Asian transport studies, 3(2):205–219, 2014.
  7. “Hannes Hartenstein and LP Laberteaux. A tutorial survey on vehicular
    ad hoc networks. IEEE Communications magazine, 46(6), 2008.
  8. Gisela Labouvie-Vief and Marshall Medler. Affect optimization and
    affect complexity: modes and styles of regulation in adulthood. Psychology
    and aging, 17(4):571, 2002.
  9. Clifford Nass, Ing-Marie Jonsson, Helen Harris, Ben Reaves, Jack Endo,
    Scott Brave, and Leila Takayama. Improving automotive safety by
    pairing driver emotion and car voice emotion. In CHI’05 Extended
    Abstracts on Human Factors in Computing Systems, pages 1973–1976.
    ACM, 2005.
  10. C Pickering. Gesture recognition could improve automotive safety. Asian
    Engineer-Automotive-Design, 2006.
  11. Andre B Reis, Susana Sargento, Filipe Neves, and Ozan K Tonguz.
    Deploying roadside units in sparse vehicular networks: What really
    works and what does not. IEEE Transactions on Vehicular Technology,
    63(6):2794–2806, 2014.
  12. Ghassan Samara, Wafaa AH Al-Salihy, and R Sures. Security analysis of
    vehicular ad hoc nerworks (vanet). In Network Applications Protocols
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  13. Gongjun Yan, Stephan Olariu, and Michele C Weigle. Providing vanet
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