Ensenas Komunikacijsko orodje – avtor Saeli Seira Saenz and Alana Betanzo Carriles

Delo Ensenas Komunikacijsko orodje avtorja Saeli Seira Saenz and Alana Betanzo Carriles je izjemno cenjeni dobitnik prestižne nagrade 2023 Železna nagrada A' Design Award v tekmovalni kategoriji Družbeno oblikovanje.

ŽeleznaDružbeno· 2023

Ensenas Komunikacijsko orodje

avtor/ica: Saeli Seira Saenz and Alana Betanzo Carriles

Naročnik: Universidad de Monterrey

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Družbeno

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Preverite status nagrade za #149366

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Dizajn

O dizajnu Ensenas Komunikacijsko orodje

Ensenas je digitalno orodje, ustvarjeno za izboljšanje komunikacije med osebami z okvaro sluha in slišečimi osebami v Mehiki. Ensenas uporablja model strojnega učenja, ki v realnem času prepoznava mehiški znakovni jezik in prevaja besede v pisno španščino. Model je bil naučen na naboru podatkov 400 videoposnetkov pogostih znakov, ki so bili označeni in analizirani sličico za sličico s pomočjo ocenjevanja telesne drže. Odzivno spletno mesto predstavlja projekt ter ponuja raziskavo, model in nabor podatkov za brezplačen prenos. Cilj je zmanjšati komunikacijsko vrzel.

Priznanje

O nagradi Železna nagrada A' Design Award

Ensenas Komunikacijsko orodje je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Ensenas Komunikacijsko orodje se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Ensenas Komunikacijsko orodje zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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.
Dimenzije in embalaža: This is a model in a website, whit a responsive design.
Oznake: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Inspiracija: 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.
Trajanje projekta: 6 months on Universidad de Montery and Monterrey City in México
Člani ekipe: Saeli Seira Sáenz
Alana Betanzo Carriles