Hue4U: Real-Time Personalized Color Correction in Augmented Reality

Jingwen Qin; Semen Checherin; Yue Li; Berend-Jan van der Zwaag; Özlem Durmaz-Incel

doi:10.48550/arXiv.2509.06776

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

Jingwen Qin
, Semen Checherin
, Yue Li
, Berend-Jan van der Zwaag
, Özlem Durmaz-Incel

Research output: Working paper › Preprint › Academic

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Abstract

Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in real time. A user study with 10 participants showed notable improvements in their ability to distinguish colors. The results demonstrated large effect sizes (Cohen's d > 1.4), suggesting clinically meaningful gains for individuals with CVD. These findings highlight the potential of personalized AR interventions to improve visual accessibility and quality of life for people affected by CVD.

Original language	English
Publisher	ArXiv.org
DOIs	https://doi.org/10.48550/arXiv.2509.06776
Publication status	Published - 8 Sept 2025

Keywords

cs.HC
cs.MM
Color vision deficiency
Augmented reality
Personalized color correction

Access to Document

10.48550/arXiv.2509.06776

2509.06776v3Final published version, 7.92 MB

Hue4U: Real-Time Personalized Color Correction in Augmented Reality
Qin, J., Checherin, S., Li, Y., van der Zwaag, B.-J. & Durmaz Incel, Ö., 2026, Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. Durmaz Incel, Ö., Qin, J., Bieber, G. & Kuijper, A. (eds.). Cham: Springer, p. 20-37 18 p. (Lecture Notes in Computer Science; vol. 16292).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Cite this

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title = "Hue4U: Real-Time Personalized Color Correction in Augmented Reality",

abstract = "Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in real time. A user study with 10 participants showed notable improvements in their ability to distinguish colors. The results demonstrated large effect sizes (Cohen's d > 1.4), suggesting clinically meaningful gains for individuals with CVD. These findings highlight the potential of personalized AR interventions to improve visual accessibility and quality of life for people affected by CVD.",

keywords = "cs.HC, cs.MM, Color vision deficiency, Augmented reality, Personalized color correction",

author = "Jingwen Qin and Semen Checherin and Yue Li and \{van der Zwaag\}, Berend-Jan and {\"O}zlem Durmaz-Incel",

year = "2025",

month = sep,

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language = "English",

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T2 - Real-Time Personalized Color Correction in Augmented Reality

AU - Qin, Jingwen

AU - Checherin, Semen

AU - Li, Yue

AU - van der Zwaag, Berend-Jan

AU - Durmaz-Incel, Özlem

PY - 2025/9/8

Y1 - 2025/9/8

N2 - Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in real time. A user study with 10 participants showed notable improvements in their ability to distinguish colors. The results demonstrated large effect sizes (Cohen's d > 1.4), suggesting clinically meaningful gains for individuals with CVD. These findings highlight the potential of personalized AR interventions to improve visual accessibility and quality of life for people affected by CVD.

AB - Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in real time. A user study with 10 participants showed notable improvements in their ability to distinguish colors. The results demonstrated large effect sizes (Cohen's d > 1.4), suggesting clinically meaningful gains for individuals with CVD. These findings highlight the potential of personalized AR interventions to improve visual accessibility and quality of life for people affected by CVD.

KW - cs.HC

KW - cs.MM

KW - Color vision deficiency

KW - Augmented reality

KW - Personalized color correction

U2 - 10.48550/arXiv.2509.06776

DO - 10.48550/arXiv.2509.06776

M3 - Preprint

BT - Hue4U

PB - ArXiv.org

ER -

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

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Keywords

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Research output

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

Cite this