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Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
(Elsevier, 2019-08-01)
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low complexity the resulting network achieves a high ...
Convolutional neural network implementation for eye-gaze estimation on low-quality consumer imaging systems
(IEEE, 2019-02-15)
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems, such as driver monitoring systems and novel user interfaces. Such systems are required to operate reliably in difficult, ...
Blockchain in energy efficiency: Potential applications and benefits
(MDPI, 2019-08-28)
Blockchain technology is ready to disrupt nearly every industry and business model, and the energy sector is no exception. Energy businesses across the world have already started exploring the use of blockchain technology ...
GazeVisual: A practical software tool and web application for performance evaluation of eye tracking systems
(IEEE, 2019-04-22)
The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and ...
Deep learning for consumer devices and services 2-AI gets embedded at the edge
(IEEE, 2019-09-02)
The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud ...