Research Article
Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP
@INPROCEEDINGS{10.1007/978-3-030-69963-5_6, author={Danson Evan Garcia and Yi Liu and Kai Wen Zheng and Yi (Summer) Tao and Phillip V. Do and Cayden Pierce and Steve Mann}, title={Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP}, proceedings={IoT Technologies for HealthCare. 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings}, proceedings_a={HEALTHYIOT}, year={2021}, month={7}, keywords={Wearable sensing Human monitoring Electroencephalography Steady-state visually evoked potentials Quantified self Augmented reality}, doi={10.1007/978-3-030-69963-5_6} }- Danson Evan Garcia
Yi Liu
Kai Wen Zheng
Yi (Summer) Tao
Phillip V. Do
Cayden Pierce
Steve Mann
Year: 2021
Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP
HEALTHYIOT
Springer
DOI: 10.1007/978-3-030-69963-5_6
Abstract
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.
