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Atchison D A, Smith G, Smith G. Optics of the human eye[M]. Oxford: Butterworth-Heinemann, 2000.AtchisonD ASmithGSmithGOxfordButterworth-Heinemann2000Search in Google Scholar
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.ChangyuanWangJingjingLiHongboJiaResearch methods and progress of head-eye movement[J]2012323173182Search in Google Scholar
Mao Xiaobo. Research on Modeling and Control of Bionic Robot Eye Movement System[D]. Zhengzhou: Zhengzhou University, 2011.XiaoboMaoZhengzhouZhengzhou University2011Search in Google Scholar
Lei Zhihui, Yu Qifeng. A new method to determine eye movement translation[J]. Experimental Mechanics, 2003, 18(4): 564–568.ZhihuiLeiQifengYuA new method to determine eye movement translation[J]2003184564568Search in Google Scholar
Freedman E G. Coordination of the eyes and head during visual orienting[J]. Experimental brain research, 2008, 190(4): 369–387.FreedmanE GCoordination of the eyes and head during visual orienting[J]20081904369387Search in Google Scholar
Mao Xiaobo, Chen Tiejun. A bionic model of head-eye coordination motion control[J]. Journal of Biomedical Engineering, 2011, 28(5): 895–900.XiaoboMaoTiejunChenA bionic model of head-eye coordination motion control[J]2011285895900Search in Google Scholar
Liu Jiahui, Chi Jiannan, Yin Yixin. Review of feature-based gaze tracking methods [J]. Journal of Automation, 2021, 47(2): 252–277.JiahuiLiuJiannanChiYixinYinReview of feature-based gaze tracking methods [J]2021472252277Search in Google Scholar
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.ZhangCChiJ NZhangZ HGaze estimation in a gaze tracking system[J]2011541122952306Search in Google Scholar
Recasens, A R C. Where are they looking?[D]. Massachusetts Institute of Technology, 2016.RecasensA R CMassachusetts Institute of Technology2016Search in Google Scholar
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.KrafkaKKhoslaAKellnhoferPProceedings of the IEEE conference on computer vision and pattern recognition201621762184Search in Google Scholar
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.HeJPhamKValliappanNProceedings of the IEEE/CVF International Conference on Computer Vision Workshops20190–0.Search in Google Scholar
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.ZhangXSuganoYFritzMProceedings of the IEEE conference on computer vision and pattern recognition201545114520Search in Google Scholar
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.LeCunYBottouLBengioYGradient-based learning applied to document recognition[J]1998861122782324Search in Google Scholar