Ensenas Ferramenta de Comunicação por Saeli Seira Saenz and Alana Betanzo Carriles

O design Ensenas Ferramenta de Comunicação por Saeli Seira Saenz and Alana Betanzo Carriles é um vencedor altamente estimado do prestigioso 2023 A' Design Award de Ferro na Categoria de Competição Design Social.

FerroSocial· 2023

Ensenas Ferramenta de Comunicação

por Saeli Seira Saenz and Alana Betanzo Carriles

Cliente: Universidad de Monterrey

Vencedor do A' Design Award de Ferro na Categoria Social

35,348

Vencedor de Prémio Verificado

Verificar Estado do Prémio para #149366

Visitar Site Ver no A' Design Award Comunicado de Imprensa Selo do Prémio

Cores

O Design

Sobre Ensenas Ferramenta de Comunicação

Ensenas é uma ferramenta digital criada para melhorar a comunicação entre pessoas com deficiência auditiva e pessoas ouvintes no México. Ensenas utiliza um modelo de aprendizado de máquina que lê a Língua de Sinais Mexicana em tempo real e traduz as palavras para o espanhol escrito. O modelo foi treinado com um conjunto de dados de 400 vídeos de sinais comuns, rotulados e analisados quadro a quadro por meio de estimativa de pose. Um site responsivo apresenta o projeto e disponibiliza a pesquisa, o modelo e o conjunto de dados para download gratuito. O objetivo é reduzir a lacuna de comunicação.

O Reconhecimento

Sobre o A' Design Award de Ferro

Ensenas Ferramenta de Comunicação conquistou o A' Design Award de Ferro, um reconhecimento prestigiado atribuído a bons designs que cumprem os requisitos profissionais e industriais esperados de criações bem concebidas. Os vencedores do Ferro demonstram grande habilidade, elevada especialização, compreensão especializada e capacidade criativa dos seus criadores. Espera-se que Ensenas Ferramenta de Comunicação seja uma criação muito considerada, admirada e estimada, prática e inovadora. Este design vencedor do A' Design Award de Ferro integra as melhores práticas do setor e tem características técnicas competentes associadas a conhecimento especializado e talento. Pela sua minúcia, Ensenas Ferramenta de Comunicação merece respeito e destina-se a proporcionar melhorias na qualidade de vida que ajudam a tornar o mundo num lugar melhor.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: This is a model in a website, whit a responsive design.
Etiquetas: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: 6 months on Universidad de Montery and Monterrey City in México
Membros da Equipa: Saeli Seira Sáenz
Alana Betanzo Carriles