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Eye-gaze systems - An analysis of error sources and potential accuracy in consumer electronics use cases.

, , , and . ICCE, page 319-320. IEEE, (2016)

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A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms., and . IEEE Access, (2017)Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems., , , and . CoRR, (2018)Gaze Visual - A Graphical Software Tool for Performance Evaluation of Eye Gaze Estimation Systems., and . GEM, page 1-9. IEEE, (2018)Convolutional Neural Network Implementation for Eye-Gaze Estimation on Low-Quality Consumer Imaging Systems., , , and . IEEE Trans. Consumer Electronics, 65 (2): 179-187 (2019)MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems.. CoRR, (2020)Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations., and . Sensors, 18 (9): 3151 (2018)Eye Tracking in Augmented Spaces: A Deep Learning Approach., , and . GEM, page 1-6. IEEE, (2018)Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets., , , , , and . PLoS Comput. Biol., (2022)Towards the development of a standardized performance evaluation framework for eye gaze estimation systems in consumer platforms., and . SMC, page 2061-2066. IEEE, (2016)GazeVisual: A Practical Software Tool and Web Application for Performance Evaluation of Eye Tracking Systems., and . IEEE Trans. Consumer Electronics, 65 (3): 293-302 (2019)