Pupil Size as a Biometric Trait

Nugrahaningsih, Nahumi; Porta, Marco

doi:10.1007/978-3-319-13386-7_18

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Controlled visual stimuli can be either static or dynamic. Tasks that are based on static stimuli include text-based tasks [13,14,48,56,124,133,147], such as reading a passage excerpt, and static image-based tasks [14,21,25,56,104,105,115,119,132,133,150], such as the exploration of a photograph. The complexity of the images affects the accuracy of the scheme [150,170].…”

Section: Continuous Vs Controlled Visual Stimulimentioning

confidence: 99%

“…Hence, implicit authentication should be performed fast. The majority of the surveyed papers is concerned with tasks as a whole (e.g., [14,18,22,65,119,132]), meaning that the authentication process starts after the user has performed one ore more tasks. Time varies from a few seconds (e.g., less than 10 seconds [26,67] [85]), with tasks that are based on dynamic visual stimuli being faster.…”

Section: Task Vs Time As Authentication Factormentioning

confidence: 99%

See 1 more Smart Citation

The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions

Katsini¹,

Abdrabou

Raptis³

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

116

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For the past 20 years, researchers have investigated the use of eye tracking in security applications. We present a holistic view on gaze-based security applications. In particular, we canvassed the literature and classify the utility of gaze in security applications into a) authentication, b) privacy protection, and c) gaze monitoring during security critical tasks. This allows us to chart several research directions, most importantly 1) conducting field studies of implicit and explicit gaze-based authentication due to recent advances in eye tracking, 2) research on gaze-based privacy protection and gaze monitoring in security critical tasks which are under-investigated yet very promising areas, and 3) understanding the privacy implications of pervasive eye tracking. We discuss the most promising opportunities and most pressing challenges of eye tracking for security that will shape research in gaze-based security applications for the next decade.

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Section: Continuous Vs Controlled Visual Stimulimentioning

confidence: 99%

Section: Task Vs Time As Authentication Factormentioning

confidence: 99%

The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions

Katsini¹,

Abdrabou

Raptis³

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

116

View full text Add to dashboard Cite

show abstract

“…In addition, several other form of biometric data are being studied, such as iris [3,[5][6][7], retina [8], palm, and ear images [9,10], which are seen as fairly stable data sources, even though aging may change the subject in the long run. Pupil sizes are used for human identification and verification [11]. Other sorts of biometric data sources are sometimes called behavioral features.…”

Section: Introductionmentioning

confidence: 99%

On Biometrics With Eye Movements

Zhang

Juhola

2017

IEEE J. Biomed. Health Inform.

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Eye movements are a relatively novel data source for biometric identification. When video cameras applied to eye tracking become smaller and more efficient, this data source could offer interesting opportunities for the development of eye movement biometrics. In the present article, we study primarily biometric identification as seen as a classification task of multiple classes, and secondarily biometric verification considered as binary classification. Our research is based on the saccadic eye movement signal measurements from 109 young subjects. In order to te s t the dat a m e as ur e d, w e us e a pr o c e dur e o f biom e tri c identification according to the one-versus-one (subject) principle. In a development from our previous research, which also involved biometric verification based on saccadic eye movements, we now apply another eye movement tracker device with a higher sampling frequency of 250 Hz. The results obtained are good, with correct identification rates at 80-90% at their best.

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“…Di Indonesia masih banyak sekali kasuskasus yang menyangkut mengenai Cyber crime yang sulit untuk diselesaikan seperti penyebaran berita palsu atau yang disebut Hoax dan ujaran kebencian (Hate Speech) saat ini di Indonesia sedang marak terjadi (Nugrahaningsih, 2014); (Septian, 2018 (Syahrudin (2003); Sitompul (2013); Anam & Hafiz (2015)).…”

Section: Pendahuluanunclassified

Analisis Kebijakan Pengendalian Pelaku Hoax dan Ujaran Kebencian

Lubis

2020

j. gov. soc. politicol.

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This study aims to review and analyze the policy of controlling fake news or hoaxes and expressions of hatred based on Law Number 11 which has been changed to Act Number 19 of 2016 concerning Information and Electronic Transctions as well as several other provisions. This research method is a qualitative research method by analyzing a statutory regulation. Besides that, it also examines the sources of textbooks, journal books in the library to support data and information in analyzing. The results of this study indicate that the basic policy regarding the dissemination of false news or hoaxes and hate speech that has been regulated in Law Number 19 Year 2016 article 28 paragraphs 1 and 2 has been effective because it can limit the space for the perpetrators of hoaks and hate speech. More specifically, the perpetrators can be charged with other related articles namely article 311 and 378 of the Criminal Code, Article 27 paragraph 3 of Law Number 19 of 2016 concerning Information and Electronic Transactions, Law No. 40 of 2008 concerning the Elimination of Racial and Ethnic Discrimination, as well as the perpetrators of spreading false news may also be subject to articles related to hate speech. Besides that, the more rapid and development of digital technology today, the more diverse the new crimes committed through this digital media, in this case the spread of false news (Hoax) that is rife. As many as 800,000 sites in Indonesia have been indicated as spreading false information.

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Pupil Size as a Biometric Trait

Cited by 10 publications

References 17 publications

The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions

The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions

On Biometrics With Eye Movements

Analisis Kebijakan Pengendalian Pelaku Hoax dan Ujaran Kebencian

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