Ensenas Uirlis Cumarsáide le Saeli Seira Saenz and Alana Betanzo Carriles

Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2023 Duais Iarainn A' Design Award sa Chatagóir Comórtais Dearadh Sóisialta é an dearadh Ensenas Uirlis Cumarsáide le Saeli Seira Saenz and Alana Betanzo Carriles.

IarannSóisialta· 2023

Ensenas Uirlis Cumarsáide

le Saeli Seira Saenz and Alana Betanzo Carriles

Cliant: Universidad de Monterrey

Buaiteoir an ghradaim Duais Iarainn A' Design Award sa Chatagóir Sóisialta

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Buaiteoir Gradaim Fíoraithe

Fíoraigh Stádas Gradaim do #149366

Tabhair Cuairt ar an Suíomh Féach ag A' Design Award Preasráiteas Suaitheantas Gradaim

Dathanna

An Dearadh

Maidir le Ensenas Uirlis Cumarsáide

Is uirlis dhigiteach í Ensenas a cruthaíodh chun cumarsáid a fheabhsú idir daoine le míchumas éisteachta agus daoine cluasa i Meicsiceo. Baineann Ensenas úsáid as samhail fhoghlama meaisín a léann Teanga Chomharthaíochta Mheicsiceo i bhfíor-am agus a aistríonn focail go Spáinnis scríofa. Oiliúnaíodh an tsamhail le tacar sonraí de 400 físeán de chomharthaí coitianta, lipéadaithe agus anailísithe fráma ar fhráma trí mheastachán poist. Léiríonn suíomh gréasáin freagrúil an tionscadal agus cuireann sé an taighde, an tsamhail agus an tacar sonraí ar fáil saor in aisce le híoslódáil. Is é an aidhm ná an bhearna cumarsáide a laghdú.

An Aitheantas

Maidir leis an Duais Iarainn A' Design Award

Bhuaigh an dearadh Ensenas Uirlis Cumarsáide Duais Iarainn A' Design Award, aitheantas gradamach a bhronntar ar dhea-dhearaí a chomhlíonann na riachtanais ghairmiúla agus thionsclaíocha a bhíonn á n-éileamh ó chruthuithe a ndearnadh go maith iad. Léiríonn buaiteoirí Iarainn scil mhór, speisialtóireacht ard, tuiscint saineolaí agus cumas cruthaitheach a gcruthaitheoirí. Táthar ag súil go mbeidh an dearadh Ensenas Uirlis Cumarsáide ina chruthú a bhfuil an-mheas air, a n-ardaítear agus a ghráitear atá praiticiúil agus nuálach. Comhtháthaíonn an dearadh seo a bhuaigh Duais Iarainn A' Design Award na cleachtais is fearr sa tionscal agus tá saintréithe teicniúla inniúla aige nasctha le heolas agus le tallann. Tá meas ar an dearadh Ensenas Uirlis Cumarsáide as a dhúthracht agus dearadh é chun feabhsuithe cáilíochta beatha a sholáthar a chabhraíonn leis an domhan a dhéanamh ina áit níos fearr.

Taobh Thiar den Dearadh

Pacáiste Preasa

Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.

Airíonna Uathúla: 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.
Toisí & Pacáistiú: This is a model in a website, whit a responsive design.
Clibeanna: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Teicneolaíocht Táirgthe: 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.
Dúshlán Deartha: 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.
Taighde: 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.
Inspioráid: 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.
Fad an Tionscadail: 6 months on Universidad de Montery and Monterrey City in México
Baill Foirne: Saeli Seira Sáenz
Alana Betanzo Carriles