Research on the Estimation of Gaze Location for Head-eye Coordination Movement

[1] Atchison D A, Smith G, Smith G. Optics of the human eye[M]. Oxford: Butterworth-Heinemann, 2000. AtchisonD A SmithG SmithG Optics of the human eye[M] Oxford Butterworth-Heinemann 2000 Search in Google Scholar

[2] 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. ChangyuanWang JingjingLi HongboJia Research methods and progress of head-eye movement[J] Journal of Xi'an University of Technology 2012 32 3 173 182 Search in Google Scholar

[3] Mao Xiaobo. Research on Modeling and Control of Bionic Robot Eye Movement System[D]. Zhengzhou: Zhengzhou University, 2011. XiaoboMao Research on Modeling and Control of Bionic Robot Eye Movement System[D] Zhengzhou Zhengzhou University 2011 Search in Google Scholar

[4] Lei Zhihui, Yu Qifeng. A new method to determine eye movement translation[J]. Experimental Mechanics, 2003, 18(4): 564–568. ZhihuiLei QifengYu A new method to determine eye movement translation[J] Experimental Mechanics 2003 18 4 564 568 Search in Google Scholar

[5] Freedman E G. Coordination of the eyes and head during visual orienting[J]. Experimental brain research, 2008, 190(4): 369–387. FreedmanE G Coordination of the eyes and head during visual orienting[J] Experimental brain research 2008 190 4 369 387 Search in Google Scholar

[6] Mao Xiaobo, Chen Tiejun. A bionic model of head-eye coordination motion control[J]. Journal of Biomedical Engineering, 2011, 28(5): 895–900. XiaoboMao TiejunChen A bionic model of head-eye coordination motion control[J] Journal of Biomedical Engineering 2011 28 5 895 900 Search in Google Scholar

[7] Liu Jiahui, Chi Jiannan, Yin Yixin. Review of feature-based gaze tracking methods [J]. Journal of Automation, 2021, 47(2): 252–277. JiahuiLiu JiannanChi YixinYin Review of feature-based gaze tracking methods [J] Journal of Automation 2021 47 2 252 277 Search in Google Scholar

[8] 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. ZhangC ChiJ N ZhangZ H Gaze estimation in a gaze tracking system[J] Science China Information Sciences 2011 54 11 2295 2306 Search in Google Scholar

[9] Recasens, A R C. Where are they looking?[D]. Massachusetts Institute of Technology, 2016. RecasensA R C Where are they looking?[D] Massachusetts Institute of Technology 2016 Search in Google Scholar

[10] 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. KrafkaK KhoslaA KellnhoferP Eye tracking for everyone[C] Proceedings of the IEEE conference on computer vision and pattern recognition 2016 2176 2184 Search in Google Scholar

[11] 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. HeJ PhamK ValliappanN 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. Search in Google Scholar

[12] 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. ZhangX SuganoY FritzM Appearance-based gaze estimation in the wild[C] Proceedings of the IEEE conference on computer vision and pattern recognition 2015 4511 4520 Search in Google Scholar

[13] 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. LeCunY BottouL BengioY Gradient-based learning applied to document recognition[J] Proceedings of the IEEE 1998 86 11 2278 2324 Search in Google Scholar

[14] Atchison D A, Smith G, Smith G. Optics of the human eye[M]. Oxford: Butterworth-Heinemann, 2000. AtchisonD A SmithG SmithG Optics of the human eye[M] Oxford Butterworth-Heinemann 2000 Search in Google Scholar

[15] 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. ChangyuanWang JingjingLi HongboJia Research methods and progress of head-eye movement[J] Journal of Xi’an University of Technology 2012 32 3 173 182 Search in Google Scholar

[16] Mao Xiaobo. Research on Modeling and Control of Bionic Robot Eye Movement System[D]. Zhengzhou: Zhengzhou University, 2011. XiaoboMao Research on Modeling and Control of Bionic Robot Eye Movement System[D] Zhengzhou Zhengzhou University 2011 Search in Google Scholar

[17] Lei Zhihui, Yu Qifeng. A new method to determine eye movement translation[J]. Experimental Mechanics, 2003, 18(4): 564–568. ZhihuiLei QifengYu A new method to determine eye movement translation[J] Experimental Mechanics 2003 18 4 564 568 Search in Google Scholar

[18] Freedman E G. Coordination of the eyes and head during visual orienting[J]. Experimental brain research, 2008, 190(4): 369–387. FreedmanE G Coordination of the eyes and head during visual orienting[J] Experimental brain research 2008 190 4 369 387 Search in Google Scholar

[19] Mao Xiaobo, Chen Tiejun. A bionic model of head-eye coordination motion control[J]. Journal of Biomedical Engineering, 2011, 28(5): 895–900. XiaoboMao TiejunChen A bionic model of head-eye coordination motion control[J] Journal of Biomedical Engineering 2011 28 5 895 900 Search in Google Scholar

[20] Liu Jiahui, Chi Jiannan, Yin Yixin. Review of feature-based gaze tracking methods [J]. Journal of Automation, 2021, 47(2): 252–277. JiahuiLiu JiannanChi YixinYin Review of feature-based gaze tracking methods [J] Journal of Automation 2021 47 2 252 277 Search in Google Scholar

[21] 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. ZhangC ChiJ N ZhangZ H Gaze estimation in a gaze tracking system[J] Science China Information Sciences 2011 54 11 2295 2306 Search in Google Scholar

[22] Recasens, A R C. Where are they looking?[D]. Massachusetts Institute of Technology, 2016. RecasensA R C Where are they looking?[D] Massachusetts Institute of Technology 2016 Search in Google Scholar

[23] 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. KrafkaK KhoslaA KellnhoferP Eye tracking for everyone[C] Proceedings of the IEEE conference on computer vision and pattern recognition 2016 2176 2184 Search in Google Scholar

[24] 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. HeJ PhamK ValliappanN 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. Search in Google Scholar

[25] 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. ZhangX SuganoY FritzM Appearance-based gaze estimation in the wild[C] Proceedings of the IEEE conference on computer vision and pattern recognition 2015 4511 4520 Search in Google Scholar

[26] 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. LeCunY BottouL BengioY Gradient-based learning applied to document recognition[J] Proceedings of the IEEE 1998 86 11 2278 2324 Search in Google Scholar