References
- Atchison D A, Smith G, Smith G. Optics of the human eye[M]. Oxford: Butterworth-Heinemann, 2000.
- Wang Changyuan, Li Jingjing, Jia Hongbo, et al. Research methods and progress of head-eye movement[J]. Journal of Xi'an University of Technology, 2012, 32(3): 173–182.
- Mao Xiaobo. Research on Modeling and Control of Bionic Robot Eye Movement System[D]. Zhengzhou: Zhengzhou University, 2011.
- Lei Zhihui, Yu Qifeng. A new method to determine eye movement translation[J]. Experimental Mechanics, 2003, 18(4): 564–568.
- Freedman E G. Coordination of the eyes and head during visual orienting[J]. Experimental brain research, 2008, 190(4): 369–387.
- Mao Xiaobo, Chen Tiejun. A bionic model of head-eye coordination motion control[J]. Journal of Biomedical Engineering, 2011, 28(5): 895–900.
- Liu Jiahui, Chi Jiannan, Yin Yixin. Review of feature-based gaze tracking methods [J]. Journal of Automation, 2021, 47(2): 252–277.
- Zhang C, Chi J N, Zhang Z H, et al. Gaze estimation in a gaze tracking system[J]. Science China Information Sciences, 2011, 54(11): 2295–2306.
- Recasens, A R C. Where are they looking?[D]. Massachusetts Institute of Technology, 2016.
- Krafka K, Khosla A, Kellnhofer P, et al. Eye tracking for everyone[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 2176–2184.
- He J, Pham K, Valliappan N, et al. On-device few-shot personalization for real-time gaze estimation[C]. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 2019: 0–0.
- Zhang X, Sugano Y, Fritz M, et al. Appearance-based gaze estimation in the wild[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 4511–4520.
- LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278–2324.
- Atchison D A, Smith G, Smith G. Optics of the human eye[M]. Oxford: Butterworth-Heinemann, 2000.
- Wang Changyuan, Li Jingjing, Jia Hongbo, et al. Research methods and progress of head-eye movement[J]. Journal of Xi’an University of Technology, 2012, 32(3): 173–182.
- Mao Xiaobo. Research on Modeling and Control of Bionic Robot Eye Movement System[D]. Zhengzhou: Zhengzhou University, 2011.
- Lei Zhihui, Yu Qifeng. A new method to determine eye movement translation[J]. Experimental Mechanics, 2003, 18(4): 564–568.
- Freedman E G. Coordination of the eyes and head during visual orienting[J]. Experimental brain research, 2008, 190(4): 369–387.
- Mao Xiaobo, Chen Tiejun. A bionic model of head-eye coordination motion control[J]. Journal of Biomedical Engineering, 2011, 28(5): 895–900.
- Liu Jiahui, Chi Jiannan, Yin Yixin. Review of feature-based gaze tracking methods [J]. Journal of Automation, 2021, 47(2): 252–277.
- Zhang C, Chi J N, Zhang Z H, et al. Gaze estimation in a gaze tracking system[J]. Science China Information Sciences, 2011, 54(11): 2295–2306.
- Recasens, A R C. Where are they looking?[D]. Massachusetts Institute of Technology, 2016.
- Krafka K, Khosla A, Kellnhofer P, et al. Eye tracking for everyone[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 2176–2184.
- He J, Pham K, Valliappan N, et al. On-device few-shot personalization for real-time gaze estimation[C]. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 2019: 0–0.
- Zhang X, Sugano Y, Fritz M, et al. Appearance-based gaze estimation in the wild[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 4511–4520.
- LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278–2324.