Ensenas Kommunikationsverktyg av Saeli Seira Saenz and Alana Betanzo Carriles

Designen Ensenas Kommunikationsverktyg av Saeli Seira Saenz and Alana Betanzo Carriles är en högt ansedd vinnare av den mycket prestigefyllda 2023 A' Design Award i Järn i tävlingskategorin Social design.

JärnSocial· 2023

Ensenas Kommunikationsverktyg

av Saeli Seira Saenz and Alana Betanzo Carriles

Klient: Universidad de Monterrey

Vinnare av A' Design Award i Järn i kategorin Social

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Färger

Designen

Om Ensenas Kommunikationsverktyg

Ensenas är ett digitalt verktyg skapat för att förbättra kommunikationen mellan personer med hörselnedsättning och hörande personer i Mexiko. Ensenas använder en maskininlärningsmodell som läser mexikanskt teckenspråk i realtid och översätter tecken till skriven spanska. Modellen tränades med ett dataset bestående av 400 videor med vanliga tecken, märkta och analyserade bildruta för bildruta genom poseestimering. En responsiv webbplats presenterar projektet och erbjuder forskningen, modellen och datasetet för gratis nedladdning. Målet är att minska kommunikationsklyftan.

Erkännandet

Om A' Design Award i Järn

Ensenas Kommunikationsverktyg är vinnare av A' Design Award i Järn, ett prestigefyllt erkännande som tilldelas bra designverk som uppfyller de professionella och industriella krav som förväntas av välgjorda skapelser. Järnvinnare visar stor skicklighet, hög specialisering, expertförståelse och skaparnas kreativa förmåga. Ensenas Kommunikationsverktyg förväntas vara en högt skattad, beundrad och älskad skapelse som är praktisk och innovativ. Detta vinnande verk i A' Design Award i Järn integrerar branschens bästa praxis och har kompetenta tekniska egenskaper kopplade till kunnande och talang. Ensenas Kommunikationsverktyg respekteras för sin grundlighet och är utformat för att åstadkomma förbättringar av livskvaliteten som hjälper till att göra världen till en bättre plats.

Bakom designen

Presskit

Erkännanden, teammedlemmar och tekniska detaljer tillhandahållna av designern.

Unika egenskaper: 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.
Dimensioner & förpackning: This is a model in a website, whit a responsive design.
Taggar: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Produktionsteknik: 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.
Designutmaning: 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.
Forskning: 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.
Inspiration: 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.
Projektlängd: 6 months on Universidad de Montery and Monterrey City in México
Teammedlemmar: Saeli Seira Sáenz
Alana Betanzo Carriles