Ensenas Komunikācijas rīks — Saeli Seira Saenz and Alana Betanzo Carriles

Darbs Ensenas Komunikācijas rīks, kura autors ir Saeli Seira Saenz and Alana Betanzo Carriles, ir augsti novērtēts un ļoti prestižās 2023 Dzelzs balva A' Design Award ieguvējs kategorijā Sociālais dizains.

DzelzsSociālais· 2023

Ensenas Komunikācijas rīks

Autors: Saeli Seira Saenz and Alana Betanzo Carriles

Klients: Universidad de Monterrey

Dzelzs balva A' Design Award ieguvējs kategorijā Sociālais

34,628

Verificēts balvas ieguvējs

Verificēt balvas statusu dizainam #149366

Apmeklēt vietni Skatīt A' Design Award Preses relīze Balvas žetons

Krāsas

Dizains

Par Ensenas Komunikācijas rīks

Ensenas ir digitāls rīks, kas radīts, lai uzlabotu saziņu starp cilvēkiem ar dzirdes traucējumiem un dzirdīgiem cilvēkiem Meksikā. Ensenas izmanto mašīnmācīšanās modeli, kas reāllaikā nolasa Meksikas zīmju valodu un tulko vārdus rakstiskā spāņu valodā. Modelis tika apmācīts, izmantojot datu kopu ar 400 videoierakstiem ar biežāk lietotām zīmēm, kas marķētas un analizētas kadru pa kadram, izmantojot pozas noteikšanu. Adaptīva tīmekļa vietne iepazīstina ar projektu un piedāvā bezmaksas lejupielādei pētījumu, modeli un datu kopu. Mērķis ir mazināt komunikācijas plaisu.

Atzinība

Par Dzelzs balva A' Design Award

Ensenas Komunikācijas rīks ir Dzelzs balvas A' Design Award ieguvējs, prestiža atzinība, ko piešķir labiem dizainiem, kas atbilst profesionālajām un rūpnieciskajām prasībām, kādas sagaidāmas no labi izstrādātiem darbiem. Dzelzs ieguvēji parāda to radītāju lielo prasmi, augsto specializāciju, ekspertu izpratni un radošo spēju. Sagaidāms, ka Ensenas Komunikācijas rīks būs augsti vērtēts, apbrīnots un cienīts darbs, praktisks un inovatīvs. Šis ar Dzelzs balvu apbalvotais dizains integrē nozares labāko praksi un tam ir kompetentas tehniskās īpašības, kas saistītas ar zinātību un talantu. Ensenas Komunikācijas rīks tiek cienīts par rūpību un ir izstrādāts, lai uzlabotu dzīves kvalitāti un palīdzētu padarīt pasauli labāku.

Aiz dizaina

Preses materiāli

Dizainera sniegtie autori, komandas dalībnieki un tehniskie dati.

Unikālās īpašības: 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.
Izmēri un iepakojums: This is a model in a website, whit a responsive design.
Birkas: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Ražošanas tehnoloģija: 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.
Dizaina izaicinājums: 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.
Pētījums: 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.
Iedvesma: 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 ilgums: 6 months on Universidad de Montery and Monterrey City in México
Komandas dalībnieki: Saeli Seira Sáenz
Alana Betanzo Carriles