research-article

Colorizer: Smart Glasses Aid for the Colorblind

Authors:

Andrei Popleteev,

Nicolas Louveton,

Roderick McCallAuthors Info & Claims

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

Pages 7 - 8

https://doi.org/10.1145/2753509.2753516

Published: 18 May 2015 Publication History

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Abstract

We present a smart glasses application for helping colorblind people to distinguish problematic colors in daily life. The prototype processes a live video stream from the mobile camera, remaps colors according to the user needs, and displays the augmented result. Color transformation ensures high contrast between colors which are otherwise indistinguishable for the user.

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Cited By

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Fadloun SMeshoul SHosseini MAmokrane ABennaceur H(2022)Visualization System for Transparency Requirement AnalyticsApplied Sciences10.3390/app12231242312:23(12423)Online publication date: 5-Dec-2022
https://doi.org/10.3390/app122312423
Sutton JLanglotz TPlopski A(2022)Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational GlassesACM Transactions on Computer-Human Interaction10.1145/348689929:3(1-53)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3486899
Li TLi CZhang XLiang WChen YYe YLin H(2021)Augmented Reality in Ophthalmology: Applications and ChallengesFrontiers in Medicine10.3389/fmed.2021.7332418Online publication date: 10-Dec-2021
https://doi.org/10.3389/fmed.2021.733241
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Index Terms

Colorizer: Smart Glasses Aid for the Colorblind
1. Applied computing

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Information & Contributors

Information

Published In

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

May 2015

68 pages

ISBN:9781450335003

DOI:10.1145/2753509

Program Chairs:
Ashwin Ashok
Carnegie Mellon University, USA
,
Jie Liu
Microsoft Research, USA
,
Suman Banerjee
University of Wisconsin-Madison, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Research-article

Funding Sources

Fonds National de la Recherche Luxembourg

Conference

MobiSys'15

Sponsor:

SIGMOBILE

MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services

May 18, 2015

Florence, Italy

Acceptance Rates

WearSys '15 Paper Acceptance Rate 14 of 18 submissions, 78%;

Overall Acceptance Rate 28 of 36 submissions, 78%

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Citations

Cited By

View all

Fadloun SMeshoul SHosseini MAmokrane ABennaceur H(2022)Visualization System for Transparency Requirement AnalyticsApplied Sciences10.3390/app12231242312:23(12423)Online publication date: 5-Dec-2022
https://doi.org/10.3390/app122312423
Sutton JLanglotz TPlopski A(2022)Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational GlassesACM Transactions on Computer-Human Interaction10.1145/348689929:3(1-53)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3486899
Li TLi CZhang XLiang WChen YYe YLin H(2021)Augmented Reality in Ophthalmology: Applications and ChallengesFrontiers in Medicine10.3389/fmed.2021.7332418Online publication date: 10-Dec-2021
https://doi.org/10.3389/fmed.2021.733241
Martínez-Domingo MValero EGómez-Robledo LHuertas RHernández-Andrés J(2020)Spectral Filter Selection for Increasing Chromatic Diversity in CVD SubjectsSensors10.3390/s2007202320:7(2023)Online publication date: 3-Apr-2020
https://doi.org/10.3390/s20072023
Valero EHuertas RMartínez‐Domingo MGómez‐Robledo LHernández‐Andrés JNieves JRomero J(2020)Is it really possible to compensate for colour blindness with a filter?Coloration Technology10.1111/cote.12505137:1(64-67)Online publication date: 2-Nov-2020
https://doi.org/10.1111/cote.12505
Schipor OAiordachioae A(2020)Engineering Details of a Smartglasses Application for Users with Visual Impairments2020 International Conference on Development and Application Systems (DAS)10.1109/DAS49615.2020.9108920(157-161)Online publication date: May-2020
https://doi.org/10.1109/DAS49615.2020.9108920
Aiordachioae ASchipor OVatavu R(2020)An Inventory of Voice Input Commands for Users with Visual Impairments and Assistive Smartglasses Applications2020 International Conference on Development and Application Systems (DAS)10.1109/DAS49615.2020.9108915(146-150)Online publication date: May-2020
https://doi.org/10.1109/DAS49615.2020.9108915
AlSabban MKarim ASun VHashim JAlSayed O(2020)Co-design of Color Identification Applications Using Scenario-Based Personas for People with Impaired Color VisionHCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design10.1007/978-3-030-60149-2_14(171-183)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-60149-2_14
Salih AElsherif MAli MVahdati NYetisen AButt H(2020)Ophthalmic Wearable Devices for Color Blindness ManagementAdvanced Materials Technologies10.1002/admt.2019011345:8Online publication date: 27-May-2020
https://doi.org/10.1002/admt.201901134
Martínez-Domingo MGómez-Robledo LValero EHuertas RHernández-Andrés JEzpeleta SHita E(2019)Assessment of VINO filters for correcting red-green Color Vision DeficiencyOptics Express10.1364/OE.27.01795427:13(17954)Online publication date: 13-Jun-2019
https://doi.org/10.1364/OE.27.017954
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Recommendations

Accommodating color blind computer users

Color discrimination enhancement for dichromats using self-organizing color transformation

Evaluating color vision deficiency daltonization methods using a behavioral visual-search method