Abstract
The diagnosis of ocular misalignment is difficult and needs examination by ophthalmologists and orthoptists. However, there are not enough qualified personnel to perform such diagnoses. The eye position check is in part systematized. With this check system, we can detect not only the symptoms but also the angle and the extent of strabismus. However, the types of strabismus that can be detected with this technique are limited to exotropia. The purpose of this study is to develop a simplified check system to screen at least the presence of strabismus apart from the type of strabismus or amount of ocular deviation. First, we digitalized the check process. Specifically, we digitized the elemental technology, i.e., the cover–uncover function, required for automation of the typical cover test for eye position check. Furthermore, we developed and implemented an abnormality determination process and evaluated the performance of the system through this experiment, the results of which indicated a higher detection capability than the conventional cover test performed by ophthalmologists and orthoptists.
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Acknowledgements
This research was supported by a Grant-in-Aid for Scientific Research (JP17H01736) from JSPS KAKENHI.
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Uchida, N., Takatuka, K., Yamaba, H. et al. HMD-based cover test system for the diagnosis of ocular misalignment. Artif Life Robotics 24, 332–337 (2019). https://doi.org/10.1007/s10015-018-0520-4
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DOI: https://doi.org/10.1007/s10015-018-0520-4