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International Journal of Human–Computer Interaction Volume 34, 2018 - Issue 5
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Articles

Towards the Use of Brain–Computer Interface and Gestural Technologies as a Potential Alternative to PIN Authentication

Sidas SaulynasUMBC, Baltimore, MD, USAView further author information
,
Charles LechnerUMBC, Baltimore, MD, USAView further author information
&
Ravi KuberUMBC, Baltimore, MD, USACorrespondence[email protected]
View further author information
Pages 433-444 | Published online: 05 Sep 2017

Citations (5)

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Read on this site (1)

Youngeun Song & Ian Oakley. (2023) PushPIN: A Pressure-Based Behavioral Biometric Authentication System for Smartwatches. International Journal of Human–Computer Interaction 39:4, pages 893-909.
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Articles from other publishers (4)

N. Caporusso. (2021) An Improved PIN Input Method for the Visually Impaired. An Improved PIN Input Method for the Visually Impaired.
Hamidreza Abbaspour, Nasser Mehrshad & Seyyed Mohammad Razavi. (2020) Identifying motor imagery activities in brain computer interfaces based on the intelligent selection of most informative timeframe. SN Applied Sciences 2:2.
Crossref
Hamidreza Abbaspour, Nasser Mehrshad, Seyyed Mohammad Razavi & Luca Mesin. (2019) Artefacts Removal to Detect Visual Evoked Potentials in Brain Computer Interface Systems. Journal of Biomimetics, Biomaterials and Biomedical Engineering 41, pages 91-103.
Crossref
Sidas Saulynas & Ravi Kuber. (2017) Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals who are Blind. Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals who are Blind.

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