Cargando…
Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D Model
This paper describes a low-cost, robust, and accurate remote eye-tracking system that uses an industrial prototype smartphone with integrated infrared illumination and camera. Numerous studies have demonstrated the beneficial use of eye-tracking in domains such as neurological and neuropsychiatric t...
Autores principales: | Brousseau, Braiden, Rose, Jonathan, Eizenman, Moshe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014547/ https://www.ncbi.nlm.nih.gov/pubmed/31963823 http://dx.doi.org/10.3390/s20020543 |
Ejemplares similares
-
Accurate Model-Based Point of Gaze Estimation on Mobile Devices
por: Brousseau, Braiden, et al.
Publicado: (2018) -
Hybrid Deep Feature Fusion of 2D CNN and 3D CNN for Vestibule Segmentation from CT Images
por: Zhang, Ruicong, et al.
Publicado: (2022) -
Robust Ship Detection in Infrared Images through Multiscale Feature Extraction and Lightweight CNN
por: Miao, Rui, et al.
Publicado: (2022) -
Eye-Tracking Feature Extraction for Biometric Machine Learning
por: Lim, Jia Zheng, et al.
Publicado: (2022) -
ECG Signal Classification Based on Fusion of Hybrid CNN and Wavelet Features by D-S Evidence Theory
por: Zhang, Jixiang, et al.
Publicado: (2021)