Ensenas Kommunikatiounsinstrument vum Saeli Seira Saenz and Alana Betanzo Carriles

D'Wierk Ensenas Kommunikatiounsinstrument vum Designer Saeli Seira Saenz and Alana Betanzo Carriles ass en héich geschätzten Gewënner vum prestigiéisen 2023 A' Design Award an Eisen an der Wettbewerbskategorie Sozialdesign.

EisenSozial· 2023

Ensenas Kommunikatiounsinstrument

vum Saeli Seira Saenz and Alana Betanzo Carriles

Client: Universidad de Monterrey

A' Design Award an Eisen Gewënner an der Kategorie Sozial

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Verifizéierte Präisgewënner

Präisstatus fir #149366 verifizéieren

Säit besichen Kuckt beim A' Design Award Pressemëtteelung Award Badge

Faarwen

Den Design

Iwwer Ensenas Kommunikatiounsinstrument

Ensenas ass en digitaalt Tool, deen entwéckelt gouf fir d'Kommunikatioun tëscht Mënsche mat Héiergeschiedegkeeten a héierenden Mënschen a Mexiko ze verbesseren. Ensenas benotzt e Machine-Learning-Modell, deen d'Mexikanesch Zeechesprooch a Echtzäit liest an d'Wierder an geschriwwe Spuenesch iwwersetzt. De Modell gouf mat engem Datesaz vu 400 Videoen vu gängege Zeechen trainéiert, déi markéiert a Bild fir Bild duerch Pose-Estimatioun analyséiert goufen. Eng responsive Websäit stellt d'Projet vir a bitt d'Fuerschung, de Modell an de Datesaz gratis zum Download un. D'Zil ass et, d'Kommunikatiounslück ze verklengeren.

D'Unerkennung

Iwwer den A' Design Award an Eisen

Ensenas Kommunikatiounsinstrument ass e Gewënner vum A' Design Award an Eisen, enger prestigiéiser Unerkennung, déi un gutt Designe vergi gëtt, déi déi professionell an industriell Ufuerderunge erfëllen, déi vu gutt gestaltene Kreatioune erwaart ginn. Eisen-Gewënner weisen déi grouss Fäegkeet, déi héich Spezialiséierung, dat Expertewëssen an d'kreativ Kapazitéit vun hire Schëpfer. Et gëtt erwaart, datt Ensenas Kommunikatiounsinstrument eng héich geschätzt, bewonnert a beléifte Kreatioun ass, déi praktesch an innovativ ass. Dëst mam Eisen ausgezeechent Design integréiert déi beschte Praktike vun der Industrie a huet kompetent technesch Eegeschaften, déi mat Know-how an Talent verbonne sinn. Ensenas Kommunikatiounsinstrument gëtt fir seng Grëndlechkeet respektéiert a ass gestalt, d'Liewensqualitéit ze verbesseren an ze hëllefen, d'Welt zu enger besserer Plaz ze maachen.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften: 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.
Dimensiounen & Verpackung: This is a model in a website, whit a responsive design.
Tags: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Produktiounstechnologie: 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.
Design Erausfuerderung: 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.
Fuerschung: 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.
Inspiratioun: 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.
Projetdauer: 6 months on Universidad de Montery and Monterrey City in México
Teammemberen: Saeli Seira Sáenz
Alana Betanzo Carriles