Saeli Seira Saenz and Alana Betanzo Carriles diseinatzailearen Ensenas Komunikazio Tresna

Saeli Seira Saenz and Alana Betanzo Carriles diseinatzailearen Ensenas Komunikazio Tresna lana 2023 Burdinazko Saria A' Design Award sari ospetsuaren irabazle bikaina da Gizarte Diseinua Lehiaketa Kategorian.

BurdinaGizartea· 2023

Ensenas Komunikazio Tresna

diseinatzailea: Saeli Seira Saenz and Alana Betanzo Carriles

Bezeroa: Universidad de Monterrey

Burdinazko Saria A' Design Award Irabazlea Gizartea Kategorian

35,348

Egiaztatutako Sari Irabazlea

#149366 Sariaren Egoera Egiaztatu

Webgunea Bisitatu A' Design Award-en Ikusi Prentsa-oharra Sari-bereizgarria

Koloreak

Diseinua

Ensenas Komunikazio Tresna Diseinuari Buruz

Ensenas Mexikon entzumen-desgaitasuna duten pertsonen eta entzumen normala dutenen arteko komunikazioa hobetzeko sortutako tresna digitala da. Ensenasek denbora errealean Mexikoko Zeinu Hizkuntza irakurtzen duen ikaskuntza automatikoko eredu bat erabiltzen du, eta hitzak gaztelania idatzira itzultzen ditu. Eredua ohiko keinuen 400 bideoko datu-multzo batekin entrenatu zen, poseak estimatuz fotograma bakoitzean etiketatu eta aztertuta. Webgune erantzunkor batek proiektua aurkezten du eta ikerketa, eredua eta datu-multzoa doan deskargatzeko aukera eskaintzen ditu. Helburua komunikazio-arrakala murriztea da.

Aintzatespena

Burdinazko Saria A' Design Award Sariari Buruz

Ensenas Komunikazio Tresna Burdinazko Saria A' Design Award irabazlea da, ondo diseinatutako sorkuntzetatik espero diren eskakizun profesional eta industrialak betetzen dituzten diseinu onei ematen zaien aitorpen prestijiotsua. Burdin-mailako irabazleek beren sortzaileen trebetasun handia, espezializazio handia, adituen ulermena eta sormen-gaitasuna erakusten dituzte. Ensenas Komunikazio Tresna oso estimatua, miretsia eta maitea den sorkuntza izatea espero da, praktikoa eta berritzailea dena. Burdinazko Saria A' Design Award irabazi duen diseinu honek sektoreko praktika onenak integratzen ditu eta know-how-ari eta talentuari lotutako ezaugarri tekniko gaituak ditu. Ensenas Komunikazio Tresna zehaztasunagatik errespetatua den lana da, eta mundua leku hobea egiten laguntzen duten bizi-kalitatearen hobekuntzak eskaintzeko diseinatua dagoena.

Diseinuaren Atzean

Prentsa-kita

Diseinatzaileak emandako kredituak, taldekideak eta xehetasun teknikoak.

Propietate Bereziak: Likewise, thanks to technology and current tools, we were able to generate a Machine Learning model or tool which makes a real time reading of the Mexican Sign Language; where it is possible to solve the communication gap between people with hearing disabilities and people without such disability; avoiding that people make the effort to learn the Mexican Sign Language.
Neurriak eta Ontziratzea: This is a model in a website, whit a responsive design.
Etiketak: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Produkzio Teknologia: We developed a model and data set of machine learning in order to create new tools and opportunities for people with hearing disabilities and make their lives easier through it. We created a platform in which anyone can learn more about the project and download the machine learning model.
Diseinu Erronka: The first step in creating this project was the creation of a data set consisting of a collection of 400 videos of the most used words in the Mexican sign language. These were ordered by categorize and label individually.
The next step was the pose prediction process, in which the model analyzes the content of the data set analyzing frame by frame by means of ML pipe pose Estimation.
At the end of this estimation, our supervised learning model is able to detect patterns in the poses without the need for human intervention in order to identify which words, letters, numbers and phrases they belong to. To complete this process, a manual selection of frames was also performed in order to achieve a more accurate prediction of the signals.

In order to open this project to the public, a digital platform was created in which it is possible to freely download our research, the LSM recognition model, the data set generated so that other developers, technology companies, educational institutions can take advantage of our project and can create more inclusion tools for the non-hearing community.
Ikerketa: It is estimated that 5% of the world population, being 430 million people, will suffer a loss of disabling audio and in Mexico there are limited resources and tools to create an environment where everyone feels heard.
Following a design process, we conducted a series of interviews with experts, case studies and surveys to understand the perception of hearing impairment. We found that one of the limitations for the use of sign language is the learning curve.

We also found that some basic tasks for people with this disability can be more complicated than normal, which limits their independence. That's why we wanted to find a solution
inclusion to this problem.

This is Enseñas, an initiative that seeks inclusion through a digital tool made by through a machine learning model (LSM Model) with the purpose of creating a new way of
communication that facilitates the interaction between people with hearing disabilities and hearing people in real times. This model will be able to translate words from the Mexican sign language into Spanish written and vice versa in real time.
Inspirazioa: The lack of education and tools about Mexican Sign Language to improve the communication and experience of hearing impaired people in Mexico, has led us to create awareness and promote the inclusion of this problem through a digital platform.
Proiektuaren Iraupena: 6 months on Universidad de Montery and Monterrey City in México
Taldekideak: Saeli Seira Sáenz
Alana Betanzo Carriles