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Appearance-based gaze estimation under slight head motion
Multimedia Tools and Applications, 2016At present a lot of gaze estimation methods can get accurate result under ideal conditions, but some practical issues are still the biggest challenges affect the accuracy such as head motion and eye blinking. Improving the accuracy of gaze estimation and the tolerance of head motion are common tasks in the field of gaze estimation.
Zhizhi Guo, Qian-Xiang Zhou, Zhongqi Liu
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Manifold Alignment for Person Independent Appearance-Based Gaze Estimation
2014 22nd International Conference on Pattern Recognition, 2014We show that dually supervised manifold embedding can improve the performance of machine learning based person-independent and thus calibration-free gaze estimation. For this purpose, we perform a manifold embedding for each person in the training dataset and then learn a linear transformation that aligns the individual, person-dependent manifolds.
Schneider, T. +2 more
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Appearance-based gaze block estimation via CNN classification
2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017Appearance-based gaze estimation methods have received increasing attention in the field of human-computer interaction (HCI). These methods tried to estimate the accurate gaze point via Convolutional Neural Network (CNN) model, but the estimated accuracy can't reach the requirement of gaze-based HCI when the regression model is used in the output layer
Xuemei Wu +3 more
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Appearance-Based Gaze Estimation With Online Calibration From Mouse Operations
IEEE Transactions on Human-Machine Systems, 2015This paper presents an unconstrained gaze estimation method using an online learning algorithm. We focus on a desktop scenario, where a user operates a personal computer, and use the mouse-clicked positions to infer, where on the screen the user is looking at. Our method continuously captures the user's head pose and eye images with a monocular camera,
Yusuke Sugano +3 more
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Evaluating the robustness of an appearance-based gaze estimation method for multimodal interfaces
Proceedings of the 15th ACM on International conference on multimodal interaction, 2013Given the crucial role of eye movements on visual attention, tracking gaze behaviors is an important research problem in various applications including biometric identification, attention modeling and human-computer interaction. Most of the existing gaze tracking methods require a repetitive system calibration process and are sensitive to the user's ...
Nanxiang Li, Carlos Busso
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Towards Eyeglasses Refraction in Appearance-based Gaze Estimation
2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023Junfeng Lyu, Feng Xu 0005
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Real-time Appearance-based Gaze Estimation via Web-Camera
2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)In this work, we aim at realizing an eye tracker functionality on an off-the-shelf low cost web-camera. In particular, we address the problem of appearance gaze estimation employing deep learning methods for solving the regression task of predicting the point of gaze on a display.
Ligostaev N. +3 more
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Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Zhaokang Chen, Bertram E Shi
exaly
Appearance-based Gaze Estimation and Applications in Healthcare.
2020Gaze estimation, the ability to predict where a person is looking, has become an indispensable technology in healthcare research. Current tools for gaze estimation rely on specialized hardware and are typically used in well-controlled laboratory settings. Novel appearance-based methods directly estimate a person's gaze from the appearance of their eyes,
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Young-gaze: an appearance-based gaze estimation solution for adolescents
Signal, Image and Video ProcessingXiaofeng Lu +4 more
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