CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019

by Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 24
Year of Publication: 2020
Authors: Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati
10.5120/ijca2020920243

Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati . Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019. International Journal of Computer Applications. 176, 24 ( May 2020), 1-9. DOI=10.5120/ijca2020920243

@article{ 10.5120/ijca2020920243,
author = { Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati },
title = { Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019 },
journal = { International Journal of Computer Applications },
issue_date = { May 2020 },
volume = { 176 },
number = { 24 },
month = { May },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number24/31344-2020920243/ },
doi = { 10.5120/ijca2020920243 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:21.849469+05:30
%A Antonio Ricardo Alexandre Brasil
%A Jefferson Oliveira Andrade
%A Karin Satie Komati
%T Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 24
%P 1-9
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Person identification based on eye movements is getting more and more attention, as it is anti-spoofing resistant and can be useful for continuous authentication. Therefore, it is noteworthy for researchers to know who and what is relevant in the field, including authors, journals, conferences, and institutions. This paper presents a comprehensive quantitative overview of the field of eye movement biometrics using a bibliometric approach. All data and analyses are based on documents written in English published between 2004 and 2019. Scopus was used to perform information retrieval. This research focused on temporal evolution, leading authors, most cited papers, leading journals, competitions and collaboration networks.

References
  1. Evgeniy Abdulin, Ioannis Rigas, and Oleg Komogortsev. Eye movement biometrics on wearable devices: What are the limits? In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pages 1503–1509. ACM, 2016.
  2. Evgeniy R Abdulin and Oleg V Komogortsev. Person verification via eye movement-driven text reading model. In 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), pages 1–8. IEEE, 2015.
  3. ACM. Acm symposium on eye tracking research & applications. https://etra.acm.org, 2019. Access: 01/01/2019.
  4. Asad Ali, Nawal Alsufyani, Sanaul Hoque, and Farzin Deravi. Gaze-based presentation attack detection for users wearing tinted glasses. In 2019 Eighth International Conference on Emerging Security Technologies (EST), pages 1–5. IEEE, 2019.
  5. Asad Ali, Farzin Deravi, and Sanaul Hoque. Spoofing attempt detection using gaze colocation. Lecture Notes in Informatics (LNI), 212.
  6. Asad Ali, Farzin Deravi, and Sanaul Hoque. Spoofing attempt detection using gaze colocation. In 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG), pages 1–12. IEEE, 2013.
  7. Asad Ali, Sanaul Hoque, and Farzin Deravi. Gaze stability for liveness detection. Pattern Analysis and Applications, 21(2):437–449, 2018.
  8. Yuniol Alvarez-Betancourt and Miguel Garcia-Silvente. An overview of iris recognition: A bibliometric analysis of the period 2000–2012. Scientometrics, 101(3):2003–2033, 2014.
  9. Fabricio Batista Narcizo and Dan Witzner Hansen. Depth compensation model for gaze estimation in sport analysis. In Proceedings of the IEEE International Conference on Computer Vision Workshops, pages 71–78, 2015.
  10. Roman Bednarik, Tomi Kinnunen, Andrei Mihaila, and Pasi Fr¨anti. Eye-movements as a biometric. Image analysis, pages 16–26, 2005.
  11. IEEE Biometrics. Ieee international conference on biometrics: Theory, applications and systems. http://ieee-biometrics.org/index.php/conferences/btas, 2019. Access: 01/01/2019.
  12. Michael Brooks, Cecilia R Aragon, and Oleg V Komogortsev. Perceptions of interfaces for eye movement biometrics. In 2013 International Conference on Biometrics (ICB), pages 1–8. IEEE, 2013.
  13. David Crouse, Hu Han, Deepak Chandra, Brandon Barbello, and Anil K Jain. Continuous authentication of mobile user: Fusion of face image and inertial measurement unit data. In Biometrics (ICB), 2015 International Conference on, pages 135–142. IEEE, 2015.
  14. Nguyen Viet Cuong, Vu Dinh, and Lam Si Tung Ho. Mel-frequency cepstral coefficients for eye movement identification. In Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on, volume 1, pages 253–260. IEEE, 2012.
  15. Farzin Deravi and Shivanand P Guness. Gaze trajectory as a biometric modality. In Biosignals, pages 335–341, 2011.
  16. Simon Eberz, Giulio Lovisotto, Andrea Patane, Marta Kwiatkowska, Vincent Lenders, and Ivan Martinovic. When your fitness tracker betrays you: Quantifying the predictability of biometric features across contexts. In 2018 IEEE Symposium on Security and Privacy (SP), pages 889–905. IEEE, 2018.
  17. Simon Eberz, Giulio Lovisotto, Kasper B Rasmussen, Vincent Lenders, and Ivan Martinovic. 28 blinks later: Tackling practical challenges of eye movement biometrics. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, pages 1187–1199, 2019.
  18. Simon Eberz, Kasper B Rasmussen, Vincent Lenders, and Ivan Martinovic. Looks like eve: Exposing insider threats using eye movement biometrics. ACM Transactions on Privacy and Security (TOPS), 19(1):1–31, 2016.
  19. Simon Eberz, Kasper B Rasmussen, Vincent Lenders, and Ivan Martinovic. Evaluating behavioral biometrics for continuous authentication: Challenges and metrics. In Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, pages 386–399, 2017.
  20. Elsevier. Pattern recognition letters. https://www.journals.elsevier.com/pattern-recognition-letters, 2019. Access: 01/01/2019.
  21. Elsevier. Scopus. https://www.elsevier.com/solutions/scopus, 2019. Access: 01/09/2019.
  22. Seyed-Mohammad Fereshtehnejad, Yashar Zeighami, Alain Dagher, and Ronald B Postuma. Clinical criteria for subtyping parkinsons disease: biomarkers and longitudinal progression. Brain, 140(7):1959–1976, 2017.
  23. Lee Friedman and Oleg V Komogortsev. Assessment of the effectiveness of seven biometric feature normalization techniques. IEEE Transactions on Information Forensics and Security, 14(10):2528–2536, 2019.
  24. Lee Friedman, Mark S Nixon, and Oleg V Komogortsev. Method to assess the temporal persistence of potential biometric features: Application to oculomotor, gait, face and brain structure databases. PloS one, 12(6):e0178501, 2017.
  25. Dan Witzner Hansen and Qiang Ji. In the eye of the beholder: A survey of models for eyes and gaze. IEEE transactions on pattern analysis and machine intelligence, 32(3):478–500, 2010.
  26. Katarzyna Harezlak, Tomasz Wasinski, and Pawel Kasprowski. The eye movement data storage–checking the possibilities. In International Conference on Intelligent Decision Technologies, pages 337–345. Springer, 2017.
  27. Jorge E Hirsch. An index to quantify an individual’s scientific research output. Proceedings of the National academy of Sciences of the United States of America, 102(46):16569, 2005.
  28. Corey Holland and Oleg V Komogortsev. Biometric identification via eye movement scanpaths in reading. In 2011 International joint conference on biometrics (IJCB), pages 1–8. IEEE, 2011.
  29. Corey D Holland and Oleg V Komogortsev. Biometric verification via complex eye movements: The effects of environment and stimulus. In 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 39–46. IEEE, 2012.
  30. Corey D Holland and Oleg V Komogortsev. Complex eye movement pattern biometrics: Analyzing fixations and saccades. In 2013 International Conference on Biometrics, pages 1–8. IEEE, 2013.
  31. Corey D Holland and Oleg V Komogortsev. Complex eye movement pattern biometrics: the effects of environment and stimulus. IEEE Transactions on Information Forensics and Security, 8(12):2115–2126, 2013.
  32. Corey D Holland and Oleg V Komogortsev. Software framework for an ocular biometric system. In Proceedings of the Symposium on Eye Tracking Research and Applications, pages 365–366. ACM, 2014.
  33. Edward Wyndham Hulme et al. Statistical bibliography in relation to the growth of modern civilization. 1923.
  34. Inderscience. International journal of biometrics. https://www.inderscience.com/jhome.php?jcode=ijbm, 2019. Access: 01/01/2019.
  35. Martti Juhola, Youming Zhang, and Jyrki Rasku. Biometric verification of a subject through eye movements. Computers in biology and medicine, 43(1):42–50, 2013.
  36. Adrian Kapczynski, Pawel Kasprowski, and Piotr Kuzniacki. Modern access control based on eye movement analysis and keystroke dynamics. In Proceedings of the International Multiconference on Computer Science and Information Technology, pages 477–483, 2006.
  37. P. Kasprowski and K. Harezlak. The second eye movements verification and identification competition. In IEEE International Joint Conference on Biometrics, pages 1–6, Sep. 2014.
  38. P Kasprowski and I Rigas. The influence of dataset quality on the results of behavioral biometric experiments. ieee biosig 2013 conference. Lecture Notes in Informatics (LNI), 212.
  39. Pawel Kasprowski. The impact of temporal proximity between samples on eye movement biometric identification. In IFIP International Conference on Computer Information Systems and Industrial Management, pages 77–87. Springer, 2013.
  40. Pawel Kasprowski and Katarzyna Harezlak. The second eye movements verification and identification competition. In Biometrics (IJCB), 2014 IEEE International Joint Conference on, pages 1–6. IEEE, 2014.
  41. Pawel Kasprowski and Katarzyna Harezlak. Disk space and load time requirements for eye movement biometric databases. In AIP Conference Proceedings, volume 1738, page 180007. AIP Publishing, 2016.
  42. Pawel Kasprowski and Katarzyna Harezlak. Using dissimilarity matrix for eye movement biometrics with a jumping point experiment. In Intelligent Decision Technologies 2016, pages 83–93. Springer, 2016.
  43. Pawel Kasprowski and Katarzyna Harezlak. Fusion of eye movement and mouse dynamics for reliable behavioral biometrics. Pattern Analysis and Applications, 21(1):91–103, 2018.
  44. Pawel Kasprowski, Oleg V Komogortsev, and Alex Karpov. First eye movement verification and identification competition at btas 2012. In Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on, pages 195–202. IEEE, 2012.
  45. Pawel Kasprowski and Jozef Ober. Eye movements in biometrics. In International Workshop on Biometric Authentication, pages 248–258. Springer, 2004.
  46. Pawel Kasprowski and J´ozef Ober. With the flick of an eye. Biometric Technology Today, 12(3):7–8, 2004.
  47. Pawel Kasprowski and J´ozef Ober. Enhancing eye-movement-based biometric identification method by using voting classifiers. In Biometric Technology for Human Identification II, volume 5779, pages 314–324. International Society for Optics and Photonics, 2005.
  48. Pawel Kasprowski and Ioannis Rigas. The influence of dataset quality on the results of behavioral biometric experiments. In 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG), pages 1–8. IEEE, 2013.
  49. Tomi Kinnunen, Filip Sedlak, and Roman Bednarik. Towards task-independent person authentication using eye movement signals. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, pages 187–190. ACM, 2010.
  50. Alexander Klein, Lori-Ann R Sacrey, Ian Q Whishaw, and Stephen B Dunnett. The use of rodent skilled reaching as a translational model for investigating brain damage and disease. Neuroscience & Biobehavioral Reviews, 36(3):1030–1042, 2012.
  51. Oleg Komogortsev, Corey Holland, Sampath Jayarathna, and Alex Karpov. 2d linear oculomotor plant mathematical model: Verification and biometric applications. ACM Transactions on Applied Perception (TAP), 10(4):27, 2013.
  52. Oleg Komogortsev, Corey Holland, Alex Karpov, and Larry R Price. Biometrics via oculomotor plant characteristics: Impact of parameters in oculomotor plant model. ACM Transactions on Applied Perception (TAP), 11(4):20, 2015.
  53. Oleg Komogortsev, Alexey Karpov, and Corey Holland. Oculomotor plant characteristics: The effects of environment and stimulus. IEEE Transactions on Information Forensics and Security, 11(3):621–632, 2016.
  54. Oleg V Komogortsev and Corey D Holland. Biometric authentication via complex oculomotor behavior. In 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 1–8. IEEE, 2013.
  55. Oleg V Komogortsev and Corey D Holland. The application of eye movement biometrics in the automated detection of mild traumatic brain injury. In Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems, pages 1711–1716. ACM, 2014.
  56. Oleg V Komogortsev, Corey D Holland, and Alex Karpov. Template aging in eye movement-driven biometrics. In Biometric and Surveillance Technology for Human and Activity Identification XI, volume 9075, page 90750A. International Society for Optics and Photonics, 2014.
  57. Oleg V Komogortsev, Sampath Jayarathna, Cecilia R Aragon, and Mechehoul Mahmoud. Biometric identification via an oculomotor plant mathematical model. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, pages 57–60. ACM, 2010.
  58. Oleg V Komogortsev and Alex Karpov. Liveness detection via oculomotor plant characteristics: Attack of mechanical replicas. In 2013 International Conference on Biometrics (ICB), pages 1–8. IEEE, 2013.
  59. Oleg V Komogortsev, Alex Karpov, Larry R Price, and Cecilia Aragon. Biometric authentication via oculomotor plant characteristics. In 2012 5th IAPR International Conference on Biometrics (ICB), pages 413–420. IEEE, 2012.
  60. Oleg V Komogortsev, Alexey Karpov, and Corey D Holland. Cue: counterfeit-resistant usable eye movement-based authentication via oculomotor plant characteristics and complex eye movement patterns. In Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, volume 8371, page 83711X. International Society for Optics and Photonics, 2012.
  61. Oleg V Komogortsev, Alexey Karpov, and Corey D Holland. Attack of mechanical replicas: Liveness detection with eye movements. IEEE Transactions on Information Forensics and Security, 10(4):716–725, 2015.
  62. Oleg V Komogortsev, Alexey Karpov, Corey D Holland, and Hugo P Proenc¸a. Multimodal ocular biometrics approach: A feasibility study. In 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pages 209–216. IEEE, 2012.
  63. Oleg V Komogortsev and Ioannis Rigas. Bioeye 2015: Competition on biometrics via eye movements. In Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th International Conference on, pages 1–8. IEEE, 2015.
  64. Stephen Majebi Lawani. Bibliometrics: its theoretical foundations, methods and applications. Libri, 31(1):294–315, 1981.
  65. Dillon Lohr, Samuel-Hunter Berndt, and Oleg Komogortsev. An implementation of eye movement-driven biometrics in virtual reality. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, page 98. ACM, 2018.
  66. Zhuo Ma, Xinglong Wang, Ruijie Ma, Zhuzhu Wang, and Jianfeng Ma. Integrating gaze tracking and head-motion prediction for mobile device authentication: A proof of concept. Sensors, 18(9):2894, 2018.
  67. Ishan Nigam, Mayank Vatsa, and Richa Singh. Ocular biometrics: A survey of modalities and fusion approaches. Information Fusion, 26:1–35, 2015.
  68. Koichiro Niinuma, Unsang Park, and Anil K Jain. Soft biometric traits for continuous user authentication. IEEE Transactions on information forensics and security, 5(4):771–780, 2010.
  69. Keyurkumar Patel, Hu Han, and Anil K Jain. Cross-database face antispoofing with robust feature representation. In Chinese Conference on Biometric Recognition, pages 611–619. Springer, 2016.
  70. Alan Pritchard et al. Statistical bibliography or bibliometrics. Journal of documentation, 25(4):348–349, 1969.
  71. Allyson Rice, P Jonathon Phillips, Vaidehi Natu, Xiaobo An, and Alice J OToole. Unaware person recognition from the body when face identification fails. Psychological Science, 24(11):2235–2243, 2013.
  72. Ioannis Rigas, Evgeniy Abdulin, and Oleg Komogortsev. Towards a multi-source fusion approach for eye movement-driven recognition. Information Fusion, 32:13–25, 2016.
  73. Ioannis Rigas, George Economou, and Spiros Fotopoulos. Biometric identification based on the eye movements and graph matching techniques. Pattern Recognition Letters, 33(6):786–792, 2012.
  74. Ioannis Rigas, George Economou, and Spiros Fotopoulos. Human eye movements as a trait for biometrical identification. In Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on, pages 217–222. IEEE, 2012.
  75. Ioannis Rigas, Lee Friedman, and Oleg Komogortsev. Study of an extensive set of eye movement features: Extraction methods and statistical analysis. Journal of Eye Movement Research, 11(1):3, 2018.
  76. Ioannis Rigas, Oleg Komogortsev, and Reza Shadmehr. Biometric recognition via eye movements: Saccadic vigor and acceleration cues. ACM Transactions on Applied Perception (TAP), 13(2):6, 2016.
  77. Ioannis Rigas and Oleg V Komogortsev. Biometric recognition via fixation density maps. In Biometric and Surveillance Technology for Human and Activity Identification XI, volume 9075, page 90750M. International Society for Optics and Photonics, 2014.
  78. Ioannis Rigas and Oleg V Komogortsev. Biometric recognition via probabilistic spatial projection of eye movement trajectories in dynamic visual environments. IEEE Transactions on Information Forensics and Security, 9(10):1743–1754, 2014.
  79. Ioannis Rigas and Oleg V Komogortsev. Gaze estimation as a framework for iris liveness detection. In IEEE International Joint Conference on Biometrics, pages 1–8. IEEE, 2014.
  80. Ioannis Rigas and Oleg V Komogortsev. Eye movement-driven defense against iris print-attacks. Pattern Recognition Letters, 68:316–326, 2015.
  81. Ioannis Rigas and Oleg V Komogortsev. Current research in eye movement biometrics: An analysis based on bioeye 2015 competition. Image and Vision Computing, 58:129–141, 2017.
  82. Usman Saeed. Automatic person recognition using eye movement during scene understanding. In 17th IEEE International Multi Topic Conference 2014, pages 240–244. IEEE, 2014.
  83. Usman Saeed. A survey of automatic person recognition using eye movements. International Journal of Pattern Recognition and Artificial Intelligence, 28(08):1456015, 2014.
  84. Usman Saeed. Eye movements during scene understanding for biometric identification. Pattern Recognition Letters, 82:190–195, 2016.
  85. Ivo Sluganovic, Marc Roeschlin, Kasper B Rasmussen, and Ivan Martinovic. Using reflexive eye movements for fast challenge-response authentication. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pages 1056–1067, 2016.
  86. Ivo Sluganovic, Marc Roeschlin, Kasper B Rasmussen, and Ivan Martinovic. Analysis of reflexive eye movements for fast replay-resistant biometric authentication. ACM Transactions on Privacy and Security (TOPS), 22(1):1–30, 2018.
  87. IEEE Signal Processing Society. Ieee transactions on information forensics and security, 2019.
  88. SPIE. Proceedings of spie the international society for optical engineering. https://spie.org/publications/conference-proceedings, 2019. Access: 01/01/2019.
  89. Springer. Advances in intelligent systems and computing. https://www.springer.com/series/11156, 2019. Access: 01/01/2019.
  90. Springer. Lecture notes in computer science. https://www.springer.com/series/558, 2019. Access: 05/01/2019.
  91. Shiliang Sun. Multitask learning for eeg-based biometrics. In 2008 19th international conference on pattern recognition, pages 1–4. IEEE, 2008.
  92. Darius Vitonis and Dan Witzner Hansen. Person identification using eye movements and post saccadic oscillations. In 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems, pages 580–583. IEEE, 2014.
  93. Ran Wang, Jing Xiao, Ruimin Hu, and Xu Wang. Face anti-spoofing based on motion. In Pacific Rim Conference on Multimedia, pages 202–211. Springer, 2017.
  94. Xiaomeng Wang, Kang Liu, and Xu Qian. A survey on gaze estimation. In 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pages 260–267. IEEE, 2015.
  95. Yunxin Wang, Tiegen Liu, and Li Liu. Novel algorithm for iris localization. In MIPPR 2007: Pattern Recognition and Computer Vision, volume 6788, page 67880L. International Society for Optics and Photonics, 2007.
  96. Erjia Yan, Ying Ding, and Qinghua Zhu. Mapping library and information science in china: A coauthorship network analysis. Scientometrics, 83(1):115–131, 2010.
  97. Raimondas Zemblys, Diederick C Niehorster, Oleg Komogortsev, and Kenneth Holmqvist. Using machine learning to detect events in eye-tracking data. Behavior research methods, 50(1):160–181, 2018.
  98. Youming Zhang and Martti Juhola. On applying signals of saccade eye movements for biometric verification of a subject. In MDA, pages 78–92, 2013.
  99. Youming Zhang and Martti Juhola. Biometric verification of a user based on eye movements. International Journal of Biometrics, 6(2):106–124, 2014.
  100. Youming Zhang and Martti Juhola. On biometrics with eye movements. IEEE journal of biomedical and health informatics, 21(5):1360–1366, 2017.
  101. Youming Zhang, Jorma Laurikkala, and Martti Juhola. Biometric verification of a subject with eye movements, with special reference to temporal variability in saccades between a subjects measurements. International Journal of Biometrics, 6(1):75–94, 2014.
  102. Youming Zhang, Jorma Laurikkala, and Martti Juhola. Biometric verification with eye movements: results from a long-term recording series. IET Biometrics, 4(3):162–168, 2015.
  103. Youming Zhang, Jyrki Rasku, and Martti Juhola. Biometric verification of subjects using saccade eye movements. International Journal of Biometrics, 4(4):317–337, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Eye movements Person identification Bibliometric analysis Biometrics

Powered by PhDFocusTM