Ensenas Herramienta de comunicación de Saeli Seira Saenz and Alana Betanzo Carriles

El diseño Ensenas Herramienta de comunicación de Saeli Seira Saenz and Alana Betanzo Carriles es un ganador altamente estimado del prestigioso 2023 A' Design Award de Hierro en la categoría de competición Diseño Social.

HierroSocial· 2023

Ensenas Herramienta de comunicación

de Saeli Seira Saenz and Alana Betanzo Carriles

Cliente: Universidad de Monterrey

Ganador del A' Design Award de Hierro en la Categoría Social

35,348

Ganador de Premio Verificado

Verificar Estado del Premio para #149366

Visitar Sitio Ver en A' Design Award Nota de Prensa Insignia del Premio

Colores

El Diseño

Acerca de Ensenas Herramienta de comunicación

Ensenas es una herramienta digital creada para mejorar la comunicación entre las personas con discapacidad auditiva y las personas oyentes en México. Ensenas utiliza un modelo de aprendizaje automático que lee la Lengua de Señas Mexicana en tiempo real y traduce las palabras al español escrito. El modelo fue entrenado con un conjunto de datos de 400 videos de señas comunes, etiquetados y analizados fotograma por fotograma mediante estimación de poses. Un sitio web adaptable presenta el proyecto y ofrece la investigación, el modelo y el conjunto de datos para su descarga gratuita. El objetivo es reducir la brecha comunicativa.

El Reconocimiento

Acerca del A' Design Award de Hierro

Ensenas Herramienta de comunicación ha ganado el A' Design Award de Hierro, un reconocimiento prestigioso concedido a buenos diseños que cumplen los requisitos profesionales e industriales que se esperan de creaciones bien diseñadas. Los ganadores de Hierro demuestran gran habilidad, alta especialización, comprensión experta y capacidad creativa de sus creadores. Se espera que Ensenas Herramienta de comunicación sea una creación muy apreciada, admirada y querida, práctica e innovadora. Este diseño ganador del A' Design Award de Hierro integra las mejores prácticas del sector y tiene características técnicas competentes unidas a conocimiento práctico y talento. Ensenas Herramienta de comunicación es respetado por su minuciosidad y está concebido para aportar mejoras en la calidad de vida que ayudan a hacer del mundo un lugar mejor.

Detrás del Diseño

Kit de Prensa

Créditos, miembros del equipo y detalles técnicos proporcionados por el diseñador.

Propiedades 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.
Dimensiones y Embalaje: 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,
Tecnología de Producción: 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.
Desafío de Diseño: 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.
Investigación: 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.
Inspiración: 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.
Duración del Proyecto: 6 months on Universidad de Montery and Monterrey City in México
Miembros del Equipo: Saeli Seira Sáenz
Alana Betanzo Carriles