Gaze Interactive and Attention Aware Low Vision Aids as Future Smart Glasses

被引：4

作者：

Mulvey, Fiona Brid ^{[1
]}

Baekgaard, Per ^{[1
]}

Mikitovic, Marek ^{[1
]}

Sadowski, Mateusz ^{[1
]}

Hou, Baosheng ^{[1
]}

Rasamoel, Nils David ^{[1
]}

Hansen, John Paulin ^{[2
]}

机构：

[1] DTU, Cognit Syst Appl Math & Comp Sci, Lyngby, Denmark

[2] DTU, Dept Technol Management & Econ, Lyngby, Denmark

来源：

ACM SYMPOSIUM ON EYE TRACKING RESEARCH AND APPLICATIONS (ETRA 2021) | 2021年

关键词：

vision loss; eye tracking; virtual reality; mixed reality; vision aids; FIXATION STABILITY; REHABILITATION; FIELD; STRATEGIES; BEHAVIOR; HEAD;

D O I：

10.1145/3450341.3460769

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a working paper on integrating eye tracking with mixed and augmented reality for the benefit of low vision aids. We outline the current state of the art and relevant research and point to further research and development required in order to adapt to individual user, environment, and current task. We outline key technical challenges and possible solutions including calibration, dealing with variant eye data quality, measuring and adapting image processing to low vision within current technical limitations, and outline an experimental approach to designing data-driven solutions using machine learning and artificial intelligence.

引用

页数：4

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