Ensenas Komunikada Ilo de Saeli Seira Saenz and Alana Betanzo Carriles

La dizajno Ensenas Komunikada Ilo de Saeli Seira Saenz and Alana Betanzo Carriles estas tre estimata gajninto de la prestiĝa 2023 Fera A' Design Award en la Konkursa Kategorio Socia Dezajno.

FeroSocia· 2023

Ensenas Komunikada Ilo

de Saeli Seira Saenz and Alana Betanzo Carriles

Kliento: Universidad de Monterrey

Gajninto de Fera A' Design Award en la Kategorio Socia

35,348

Kontrolita Premiogajninto

Kontroli Premiostaton por #149366

Viziti Retejon Vidi ĉe A' Design Award Gazetara Komuniko Premia Insigno

Koloroj

La Dezajno

Pri Ensenas Komunikada Ilo

Ensenas estas cifereca ilo kreita por plibonigi la komunikadon inter surduloj kaj aŭdantaj homoj en Meksiko. Ensenas uzas maŝinlernadan modelon kiu legas la Meksikan Signolingvon en reala tempo kaj tradukas vortojn al skribita hispana lingvo. La modelo estis trejnita per datumaro de 400 videoj de kutimaj signoj, etikeditaj kaj analizitaj kadro post kadro per pozotaksado. Adaptiĝema retejo prezentas la projekton kaj ofertas la esploradon, la modelon kaj la datumaron por senpaga elŝutado. La celo estas malpligrandigi la komunikadan breĉon.

La Agnosko

Pri la Fera A' Design Award

Ensenas Komunikada Ilo estas gajninto de la Fera A' Design Award, prestiĝa rekono donata al bonaj dezajnoj, kiuj plenumas la profesiajn kaj industriajn postulojn atendatajn de bone dezajnitaj kreaĵoj. La Feraj gajnintoj montras grandan lertecon, altan specialiĝon, spertan komprenon kaj kreivan kapablon de siaj kreintoj. Oni atendas, ke Ensenas Komunikada Ilo estu tre estimata, admirata kaj ŝatata kreaĵo, kiu estas praktika kaj nova. Ĉi tiu dezajno gajninta la Feran A' Design Award integras plej bonajn industriajn praktikojn kaj havas kompetentajn teknikajn karakterizojn ligitajn kun scipovo kaj talento. Ensenas Komunikada Ilo estas respektata pro sia zorgemo kaj estas dezajnita por provizi plibonigojn de la vivokvalito, kiuj helpas fari la mondon pli bona loko.

Malantaŭ la Dezajno

Gazetara Dosiero

Kreditoj, teamanoj kaj teknikaj detaloj provizitaj de la dezajnisto.

Unikaj Ecoj: 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.
Dimensioj kaj Pakado: This is a model in a website, whit a responsive design.
Etikedoj: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Produkta Teknologio: 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.
Dizajna Defio: 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.
Esplorado: 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.
Inspiro: 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.
Projekta Daŭro: 6 months on Universidad de Montery and Monterrey City in México
Teamanoj: Saeli Seira Sáenz
Alana Betanzo Carriles