Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept

We introduce a two-stream model to use reflexive eye movements for smart mobile device authentication. Our model is based on two pre-trained neural networks, iTracker and PredNet, targeting two independent tasks: (i) gaze tracking and (ii) future frame prediction. We design a procedure to randomly g...

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Detalles Bibliográficos
Autores principales: Ma, Zhuo, Wang, Xinglong, Ma, Ruijie, Wang, Zhuzhu, Ma, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164076/
https://www.ncbi.nlm.nih.gov/pubmed/30200380
http://dx.doi.org/10.3390/s18092894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164076/
https://www.ncbi.nlm.nih.gov/pubmed/30200380
http://dx.doi.org/10.3390/s18092894

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