Translational vision science & technology · 2025
Lens-Viewpoint Extraction Method for Personalized Progressive Addition Lens Fitting.
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Yang Yating, Chen Xiaoqin, Deng Zhichao, Mei Jianchun, Li Yutong, Guo Xingyi, Zhou Peiran, Li Lihua, Ye Qing
Аннотация
PURPOSE: To validate the accuracy of a lens-viewpoint extraction method and demonstrate its feasibility for tracking users' visual behavior on progressive addition lenses (PALs). This aims to provide a quantifiable fitting solution for PAL wearers in the future.
METHODS: We evaluated a method using eye-tracking technology to extract the viewpoint on the lens, implemented with a self-made setup. Accuracy verification experiments were performed using a mechanical artificial eye, and a clinical test on 10 subjects was performed to assess the accuracy of the method and explored its feasibility.
RESULTS: The accuracy of the lens-viewpoint extraction method was verified to be 0.21 ± 0.06 mm and 0.30 ± 0.07 mm on the lens in the mechanical artificial eye experiment and clinical test, respectively. An exemplary analysis of user eye behavior on the lens was provided.
CONCLUSIONS: These results demonstrate that the lens-viewpoint extraction method achieves high accuracy and is feasible for tracking users' personalized visual habits on the lens.
TRANSLATIONAL RELEVANCE: The lens-viewpoint extraction method introduced in this study shows significant potential for providing a quantifiable solution to improve wearing comfort for the presbyopia population, holding important translational value in the field of precision optometry.
METHODS: We evaluated a method using eye-tracking technology to extract the viewpoint on the lens, implemented with a self-made setup. Accuracy verification experiments were performed using a mechanical artificial eye, and a clinical test on 10 subjects was performed to assess the accuracy of the method and explored its feasibility.
RESULTS: The accuracy of the lens-viewpoint extraction method was verified to be 0.21 ± 0.06 mm and 0.30 ± 0.07 mm on the lens in the mechanical artificial eye experiment and clinical test, respectively. An exemplary analysis of user eye behavior on the lens was provided.
CONCLUSIONS: These results demonstrate that the lens-viewpoint extraction method achieves high accuracy and is feasible for tracking users' personalized visual habits on the lens.
TRANSLATIONAL RELEVANCE: The lens-viewpoint extraction method introduced in this study shows significant potential for providing a quantifiable solution to improve wearing comfort for the presbyopia population, holding important translational value in the field of precision optometry.