Ensenas by Eduardo Guizar Vukovich innovative tool to improve communication

Ensenas

Tool to Improve Communication for Universidad de Monterrey

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. Thanks to technology tools, we were able to generate a Machine Learning model or tool which makes a real-time reading of Mexican Sign Language; where it is possible to solve the communication gap between people with hearing disabilities and people without such disabilities; avoiding that people make The effort to learn Mexican Sign Language.

Eduardo Guizar Vukovich 2023 Collaboration Iron Press Kit № 149366

Download Press Kit № 149366

Download Press Kit № 149366 Tool to Improve Communication for Universidad de Monterrey by Eduardo Guizar Vukovich to access high-res images, essential texts, translations, and exclusive interviews—all in one.

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Ensenas by Eduardo Guizar Vukovich

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Utilize this 1800-pixel image at 300 DPI for sharp, detailed prints up to 6 inches. When your narrative requires larger images, deploying it at 150 DPI allows for clear, impactful visuals up to 12 inches. Download watermark-free, high-res images with your press credentials, or opt for an immediate low-res download. Image attributions can be found in the Image Credits Section.

Tool to Improve Communication by Eduardo Guizar Vukovich

Download 1800 Pixels JPEG Image.

For precise, vibrant prints up to 6 inches, use this 1800-pixel image at 300 DPI. For larger visuals up to 12 inches, 150 DPI ensures the image remains clear and impactful. High-res, no watermark images await those with press accreditation. For instant access, download a low-res version. Image Credits Section holds all necessary photo accreditation details.

Eduardo Guizar Vukovich Ensenas

Download 1800 Pixels JPEG Image.

For precise, vibrant prints up to 6 inches, use this 1800-pixel image at 300 DPI. For larger visuals up to 12 inches, 150 DPI ensures the image remains clear and impactful. Accredited press members can download high-res images free of watermarks. Alternatively, low-res images are instantly available. For attribution details, see the Image Credits Section.

Eduardo Guizar Vukovich Tool to Improve Communication

Download 1800 Pixels JPEG Image.

For precise, vibrant prints up to 6 inches, use this 1800-pixel image at 300 DPI. For larger visuals up to 12 inches, 150 DPI ensures the image remains clear and impactful. Unlock high-res, watermark-free images with press accreditation, or instantly download a low-res version today. Image attributions can be found in the Image Credits Section.

Ensenas Tool to Improve Communication Press Releases

For Ensenas, we offer press releases in multiple languages, including: English.

Ensenas Tool to Improve Communication Media Articles

Ready-to-feature articles on Ensenas are available in these languages: Italian, Portuguese, Chinese (Mandarin), Indonesian, Dutch, Hindi, Turkish, Korean, Japanese, Russian, Arabic (Standard), German, French, English and Spanish, for your convenience.

Unique Properties

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.

Production Technology

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 Challenge

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.

Project Duration

6 months on Universidad de Montery and Monterrey City in México

Research

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.

Project Overview

Ensenas Tool to Improve Communication has been a Iron winner in the Social Design award category in the year 2022 organized by the prestigious A' Design Award & Competition. The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.

Image Credits

For design images and photos please credit Eduardo Guizar Vukovich.

Iron Recognition

Eduardo Guizar Vukovich was recognized with the coveted Iron A' Design Award in 2023, a testament to excellence of their work Ensenas Tool to Improve Communication.

Eduardo Guizar Vukovich Press Releases

Attention press members and journalists: We offer a collection of press releases on Eduardo Guizar Vukovich and their notable work, available for your unrestricted use. Journalists can access 2 press releases immediately, ready for your use.

EnseÃ±as: A Digital Platform for Mexican Sign Language Communication

Eduardo Guizar Vukovich Introduces EnseÃ±as, a Tool to Improve Communication for the Hearing Impaired in Mexico

Eduardo Guizar Vukovich Newsroom

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