Abstract
Throughout our lives, we are very dependent on the ability to see the “world”. Everyday our eyes capture images that enable us to describe our ideas, our tastes and influence our identity. How we dress up is determined by our personal taste, mainly fed through our own eyesight. Once esthetics are supported by our vision, blind people is limited while performing tasks such as purchasing, selecting and matching outfits. These are considered easy tasks for visually enabled people and difficult tasks for people that cannot see. Therefore, within this scope it has been developed and distributed a survey to all the departments of the Association of the Blind and Amblyopes of Portugal (ACAPO). The survey has two main objectives: to recognize the importance of identifying and combing garments and to assess the needs in the development of clothing identification and combination systems that support blind people.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Quantas pessoas com deficiência visual existem em Portugal? | Associação dos Cegos e Amblíopes de Portugal. http://www.acapo.pt/deficiencia-visual/perguntas-e-respostas/deficiencia-visual/quantas-pessoas-com-deficiencia-visual. (in Portuguese)
ClosetSpace - Closet & Outfits on the App Store. https://apps.apple.com/us/app/closetspace-closet-outfits/id549724282
Virtual closet, fashion app, Fashion, Virtual Closet Apps. http://www.pureple.com/
Smart Closet App | Closet Organizer | Shop Fashion & Style. https://smartcloset.me/app
Stylebook Closet App: a closet and wardrobe fashion app for the iPhone and iPad. https://www.stylebookapp.com/
Colortest Standard - Computer Room Services. https://www.comproom.co.uk/product/colortest-classic/
Colorino Color Identifier - Light Detector - Assistive Technology at Easter Seals Crossroads. https://www.eastersealstech.com/2016/07/05/colorinos-color-identifier-light-detector/
Yang, X., Yuan, S., Tian, Y.: Assistive clothing pattern recognition for visually impaired people. IEEE Trans. Hum. Mach. Syst. 44, 234–243 (2014). https://doi.org/10.1109/THMS.2014.2302814
Yuan, S., Tian, Y.: Rotation and illumination invariant texture analysis: matching clothes with complex patterns for blind people. In: 2010 3rd International Congress on Image and Signal Processing, pp. 2643–2647. IEEE (2010)
Jarin Joe Rini, J., Thilagavathi, B.: Recognizing clothes patterns and colours for blind people using neural network. In: ICIIECS 2015 - 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems (2015)
Rocha, D., Carvalho, V., Oliveira, E., et al.: MyEyes-automatic combination system of clothing parts to blind people: first insights. In: 2017 IEEE 5th International Conference on Serious Games Applications of Health (SeGAH), pp. 1–5 (2017)
Rocha, D, Carvalho, V., Oliveira, E.: MyEyes - automatic combination system of clothing parts to blind people: prototype validation. SENSORDEVICES’ 2017 Conference, Rome, Italy, 10–14 September 2017 (2017)
Rocha, D., Carvalho, V., Gonçalves, J., et al.: Development of an automatic combination system of clothing parts for blind people: MyEyes. Sens. Transducers 219, 26–33 (2018)
Rocha, D., Carvalho, V., Soares, F., Oliveira, E.: Extracting clothing features for blind people using image processing and machine learning techniques: first insights. In: Tavares, J.M.R.S., Natal Jorge, R.M. (eds.) VipIMAGE 2019. LNCVB, vol. 34, pp. 411–418. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32040-9_42
Rocha, D., Carvalho, V., Soares, F., Oliveira, E.: A model approach for an automatic clothing combination system for blind people. In: Brooks, E.I., Brooks, A., Sylla, C., Møller, A.K. (eds.) DLI 2020. LNICSSITE, vol. 366, pp. 74–85. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78448-5_6
Rocha, D., Carvalho, V., Soares, F., Oliveira, E.: Design of a smart mechatronic system to combine garments for blind people: first insights. In: Garcia, N.M., Pires, I.M., Goleva, R. (eds.) HealthyIoT 2019. LNICSSITE, vol. 314, pp. 52–63. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42029-1_4
Acknowledgments
This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. The authors would like to express their acknowledgments to Association of the Blind and Amblyopes of Portugal (ACAPO).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Rocha, D., Carvalho, V., Soares, F., Oliveira, E., Leão, C.P. (2022). Understand the Importance of Garments’ Identification and Combination to Blind People. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-85540-6_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85539-0
Online ISBN: 978-3-030-85540-6
eBook Packages: EngineeringEngineering (R0)