Hue4U: Real-Time Personalized Color Correction in Augmented Reality

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

doi:10.1007/978-3-032-13312-0_2

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Color Vision Deficiency (CVD) affects nearly 8% of men and 0.5% 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, our 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 colours. 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
Title of host publication	Sensor-Based Activity Recognition and Artificial Intelligence
Subtitle of host publication	10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings
Editors	Özlem Durmaz Incel, Jingwen Qin, Gerald Bieber, Arjan Kuijper
Place of Publication	Cham
Publisher	Springer
Pages	20-37
Number of pages	18
ISBN (Electronic)	978-3-032-13312-0
ISBN (Print)	978-3-032-13311-3
DOIs	https://doi.org/10.1007/978-3-032-13312-0_2
Publication status	Published - 2026
Event	10th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025 - University of Twente, Enschede, Netherlands Duration: 18 Sept 2025 → 19 Sept 2025 Conference number: 10 https://iwoar.org/2025/index.html https://iwoar.org/2025/cfp.html

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	16292
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	10th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025
Abbreviated title	iWOAR 2025
Country/Territory	Netherlands
City	Enschede
Period	18/09/25 → 19/09/25
Internet address	https://iwoar.org/2025/index.html https://iwoar.org/2025/cfp.html

Keywords

2026 OA procedure
Color vision deficiency
Personalized color correction
Augmented reality

Access to Document

10.1007/978-3-032-13312-0_2

Cite this

Qin, J., Checherin, S., Li, Y., van der Zwaag, B.-J., & Durmaz Incel, Ö. (2026). Hue4U: Real-Time Personalized Color Correction in Augmented Reality. In Ö. Durmaz Incel, J. Qin, G. Bieber, & A. Kuijper (Eds.), Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings (pp. 20-37). (Lecture Notes in Computer Science; Vol. 16292). Springer. https://doi.org/10.1007/978-3-032-13312-0_2

Qin, Jingwen ; Checherin, Semen ; Li, Yue et al. / Hue4U : Real-Time Personalized Color Correction in Augmented Reality. Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. editor / Özlem Durmaz Incel ; Jingwen Qin ; Gerald Bieber ; Arjan Kuijper. Cham : Springer, 2026. pp. 20-37 (Lecture Notes in Computer Science).

@inproceedings{6c85e826367046b4b809e034991a468c,

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

abstract = "Color Vision Deficiency (CVD) affects nearly 8\% of men and 0.5\% 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, our 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 colours. The results demonstrated large effect sizes (Cohen{\textquoteright}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 = "2026 OA procedure, Color vision deficiency, Personalized color correction, Augmented reality",

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

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 10th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025, iWOAR 2025 ; Conference date: 18-09-2025 Through 19-09-2025",

year = "2026",

doi = "10.1007/978-3-032-13312-0\_2",

language = "English",

isbn = "978-3-032-13311-3",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "20--37",

editor = "\{Durmaz Incel\}, {\"O}zlem and Jingwen Qin and Gerald Bieber and Arjan Kuijper",

booktitle = "Sensor-Based Activity Recognition and Artificial Intelligence",

address = "Germany",

url = "https://iwoar.org/2025/index.html, https://iwoar.org/2025/cfp.html",

}

Qin, J, Checherin, S, Li, Y, van der Zwaag, B-J & Durmaz Incel, Ö 2026, Hue4U: Real-Time Personalized Color Correction in Augmented Reality. in Ö Durmaz Incel, J Qin, G Bieber & A Kuijper (eds), Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. Lecture Notes in Computer Science, vol. 16292, Springer, Cham, pp. 20-37, 10th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025, Enschede, Netherlands, 18/09/25. https://doi.org/10.1007/978-3-032-13312-0_2

Hue4U: Real-Time Personalized Color Correction in Augmented Reality. / Qin, Jingwen; Checherin, Semen; Li, Yue et al.
Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. ed. / Özlem Durmaz Incel; Jingwen Qin; Gerald Bieber; Arjan Kuijper. Cham: Springer, 2026. p. 20-37 (Lecture Notes in Computer Science; Vol. 16292).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Hue4U

T2 - 10th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025

AU - Qin, Jingwen

AU - Checherin, Semen

AU - Li, Yue

AU - van der Zwaag, Berend-Jan

AU - Durmaz Incel, Özlem

N1 - Conference code: 10

PY - 2026

Y1 - 2026

N2 - Color Vision Deficiency (CVD) affects nearly 8% of men and 0.5% 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, our 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 colours. 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% of men and 0.5% 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, our 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 colours. 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 - 2026 OA procedure

KW - Color vision deficiency

KW - Personalized color correction

KW - Augmented reality

UR - https://www.scopus.com/pages/publications/105028303071

U2 - 10.1007/978-3-032-13312-0_2

DO - 10.1007/978-3-032-13312-0_2

M3 - Conference contribution

AN - SCOPUS:105028303071

SN - 978-3-032-13311-3

T3 - Lecture Notes in Computer Science

SP - 20

EP - 37

BT - Sensor-Based Activity Recognition and Artificial Intelligence

A2 - Durmaz Incel, Özlem

A2 - Qin, Jingwen

A2 - Bieber, Gerald

A2 - Kuijper, Arjan

PB - Springer

CY - Cham

Y2 - 18 September 2025 through 19 September 2025

ER -

Qin J, Checherin S, Li Y, van der Zwaag BJ , Durmaz Incel Ö. Hue4U: Real-Time Personalized Color Correction in Augmented Reality. In Durmaz Incel Ö, Qin J, Bieber G, Kuijper A, editors, Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. Cham: Springer. 2026. p. 20-37. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-13312-0_2

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

Abstract

Publication series

Workshop

Keywords

Access to Document

Other files and links

Embargoed Document

Fingerprint

Hue4U: Real-Time Personalized Color Correction in Augmented Reality

Cite this