| Autor: |
Cayden Pierce, Yi Liu, Danson Evan Garcia, Steve Mann, Phillip V. Do, Yi (Summer) Tao, Kai Wen Zheng |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030699628 |
| Popis: |
Using a wearable electroencephalogram (EEG) device, this paper introduces a novel method of quantifying and understanding the visual acuity of the human eye with the steady-state visually evoked potential (SSVEP) technique. This method gives users easy access to self-track and to monitor their eye health. The study focuses on how varying the SSVEP stimulus frequency and duration affect the overall representation of a person’s visual perception. The study proposes two methods for this visual representation. The first method is a hardware system that utilizes long-exposure photography to augment reality and collocate the visual map onto the plane of interest. The second is a software implementation that captures the visual field at a set distance. A three-dimensional mapping is created by gathering software-defined visual maps at various set distances. Preliminary results show that these methods can gain some insight into the user’s central vision, peripheral vision, and depth perception. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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