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Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems [article]

Joseph Lemley, Anuradha Kar, Alexandru Drimbarean, Peter Corcoran
2018 arXiv   pre-print

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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, unconstrained environments with low power consumption and at minimal cost. In this paper a new hardware friendly, convolutional neural network model with minimal computational requirements is introduced and assessed for efficient appearance-based gaze estimation. The model is
more » ... d and compared against existing appearance based CNN approaches, achieving better eye gaze accuracy with significantly fewer computational requirements. A brief updated literature review is also provided.
arXiv:1806.10890v1 fatcat:cp6k4rx3gzc33morknlhcpw7di
Citation

Joseph Lemley, Anuradha Kar, Alexandru Drimbarean, Peter Corcoran. "Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems." arXiv (2018)