Saeli Seira Saenz and Alana Betanzo Carriles tarapyndan Ensenas Aragatnaşyk Guraly

Saeli Seira Saenz and Alana Betanzo Carriles tarapyndan döredilen Ensenas Aragatnaşyk Guraly dizaýny Jemgyýetçilik Dizaýny Bäsleşik Kategoriýasynda 2023 A' Design Award Demir Baýragy baýragynyň abraýly ýeňijisidir.

DemirJemgyýetçilik· 2023

Ensenas Aragatnaşyk Guraly

dizaýner: Saeli Seira Saenz and Alana Betanzo Carriles

Müşderi: Universidad de Monterrey

Jemgyýetçilik Kategoriýasynda A' Design Award Demir Baýragy Ýeňijisi

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Sahypa giriň A' Design Award-da görüň Metbugat beýannamasy Baýrak nyşany

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Dizaýn

Ensenas Aragatnaşyk Guraly hakynda

Ensenas — Meksikada eşidiş bozulmasy bolan adamlar bilen eşidiji adamlaryň arasyndaky aragatnaşygy gowulandyrmak üçin döredilen sanly guraldyr. Ensenas Meksikanyň karyýş dilini hakyky wagtda okaýan we sözleri ýazuw ispan diline terjime edýän maşyn öwrenişi modelini ulanýar. Model, poza kesgitlemesi arkaly kadr-kadr seljerilen we bellenen 400 sany adaty yşarat wideosyndan ybarat maglumat toplumy bilen türgenleşdirildi. Duýgur web sahypasy taslamany tanyşdyrýar hem-de gözlegi, modeli we maglumat toplumyny mugt göçürip almak üçin hödürleýär. Maksat — aragatnaşyk boşlugyny azaltmakdyr.

Ykrar etme

A' Design Award Demir Baýragy hakynda

Ensenas Aragatnaşyk Guraly A' Design Award Demir Baýragynyň ýeňijisidir; bu gowy dizaýn edilen eserlerden garaşylýan hünär we senagat talaplaryny kanagatlandyrýan gowy dizaýnlara berilýän abraýly ykrarnamadyr. Demir ýeňijileri döredijileriniň uly başarnygyny, ýokary ugurlaşygyny, hünärmen düşünjesini we döredijilik ukybyny görkezýär. Ensenas Aragatnaşyk Guraly uly baha berilýän, haýran galynýan we söýülýän, amaly we täzelikçi eser bolmagy garaşylýar. A' Design Award Demir Baýragyny gazanan bu dizaýn pudagyň iň oňat tejribelerini birleşdirýär we bilim we zehin bilen baglanyşykly ukyply tehniki aýratynlyklara eýedir. Ensenas Aragatnaşyk Guraly jikme-jikligi üçin hormatlanylýar we dünýäni has gowy ýere öwürmäge kömek edýän ýaşaýyş hilini gowulandyrýan zatlary hödürlemek üçin dizaýn edilendir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: This is a model in a website, whit a responsive design.
Bellikler: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: 6 months on Universidad de Montery and Monterrey City in México
Topar Agzalary: Saeli Seira Sáenz
Alana Betanzo Carriles