Enabling gaze-contingent accommodation in presbyopia correction and near-eye displays
Abstract/Contents
- Abstract
- Humans rely on several different depth cues to navigate the world around them. Among the most important cues are accommodation (refocus) and vergence (inward and outward rotation). Though accommodation and vergence are neurally linked processes, there are situations in which they fall out of synchrony; specifically, we address two seemingly unrelated issues: presbyopia and virtual and augmented reality (VR/AR). In the former, the crystalline lens within the eye itself loses the ability to accommodate due to it stiffening as a function of age. This stiffening defines presbyopia and occurs in all humans, with diagnosis typically in their late 40s. In the latter case of VR/AR, a viewer is forced to fix their accommodation to the single plane of a display while the display's stereoscopic image encourages their eyes to verge to arbitrary distances to achieve a sense of three dimensionality. In both cases, the viewer is no longer able to accommodate naturally. Traditionally, presbyopia and VR/AR optics have been static, making it difficult to approximate the abilities of the once pliable crystalline lens—inherently trading off acuity, field of view, or stereoacuity in exchange. On the other hand, a more dynamic, gaze-contingent solution requires focus-tunable lenses and eye trackers to properly mimic the accommodation reflex. We built and evaluated gaze-contingent optical systems for use in presbyopia correction and VR/AR, with our solutions outperforming traditional ones on both quantitative and qualitative measures
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Padmanaban, Nitish |
|---|---|
| Degree supervisor | Wetzstein, Gordon |
| Thesis advisor | Wetzstein, Gordon |
| Thesis advisor | Horowitz, Mark (Mark Alan) |
| Thesis advisor | Norcia, Anthony Matthew |
| Degree committee member | Horowitz, Mark (Mark Alan) |
| Degree committee member | Norcia, Anthony Matthew |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Nitish Padmanaban |
|---|---|
| Note | Submitted to the Department of Electrical Engineering |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Nitish Padmanaban
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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