Smart Dimming Sunglasses for Photophobia Using Spatial Light Modulator

Xiaodan Hu
Xiaodan Hu
TU Graz
Yan Zhang
Yan Zhang
Shanghai Jiao Tong University
Hideaki Uchiyama
Hideaki Uchiyama
NAIST
Naoya Isoyama
Naoya Isoyama
Otsuma Women's University
Nobuchika Sakata
Nobuchika Sakata
Ryukoku University
Kiyoshi Kiyokawa
Kiyoshi Kiyokawa
NAIST

Elsevier Displays

2024 | Published

Smart dimming demo

Smart dimming sunglasses demonstration

Abstract

We present a smart sunglasses system engineered to assist individuals experiencing photophobia, particularly those highly sensitive to light intensity. The system integrates a high dynamic range (HDR) camera and a liquid crystal spatial light modulator (SLM) to dynamically regulate light, adapting to environmental scenes by modifying pixel transmittance through a specialized control algorithm, thereby offering adaptable light management to meet the users' visual needs. Nonetheless, a conventional occlusion mask on the SLM, intended to block incoming light, emerges blurred and insufficient due to a misaligned focal plane. To address the challenge of imprecise light filtering, we introduce an optimization algorithm that meticulously adjusts the light attenuation process, effectively diminishing excessive brightness in targeted areas without adversely impacting regions with acceptable levels of luminance.

Main Contributions

  • A compact architecture of smart sunglasses for photophobia.
  • A control algorithm that meets requirements for comfortable vision and operates solely based on input from thescene camera.
  • An eyeglasses-specific optimization strategy aimed at addressing the issue of insufficient dimming due to a blurred occlusion mask.

BibTeX

@article{hu2024smartdimming, title={Smart Dimming Sunglasses for Photophobia Using Spatial Light Modulator}, author={Hu, Xiaodan and Zhang, Yan and Uchiyama, Hideaki and Isoyama, Naoya and Sakata, Nobuchika and Kiyokawa, Kiyoshi}, journal={Displays}, year={2024}, publisher={Elsevier}, volume={81}, pages={102611}, doi={https://doi.org/10.1016/j.displa.2023.102611}, issn={0141-9382} }