Ensenas Alat Komunikasi oleh Saeli Seira Saenz and Alana Betanzo Carriles

Reka bentuk Ensenas Alat Komunikasi oleh Saeli Seira Saenz and Alana Betanzo Carriles ialah pemenang yang sangat dihormati bagi 2023 A' Design Award Besi yang amat berprestij dalam Kategori Pertandingan Reka Bentuk Sosial.

BesiSosial· 2023

Ensenas Alat Komunikasi

oleh Saeli Seira Saenz and Alana Betanzo Carriles

Klien: Universidad de Monterrey

Pemenang A' Design Award Besi dalam Kategori Sosial

35,348

Pemenang Anugerah Yang Disahkan

Sahkan Status Anugerah untuk #149366

Lawati Laman Lihat di A' Design Award Siaran Akhbar Lencana Anugerah

Warna

Reka Bentuk

Mengenai Ensenas Alat Komunikasi

Ensenas ialah alat digital yang dicipta untuk meningkatkan komunikasi antara orang kurang upaya pendengaran dengan orang yang boleh mendengar di Mexico. Ensenas menggunakan model pembelajaran mesin yang membaca Bahasa Isyarat Mexico secara masa nyata dan menterjemahkan perkataan tersebut ke dalam bahasa Sepanyol bertulis. Model ini dilatih menggunakan set data yang terdiri daripada 400 video isyarat biasa, yang dilabel dan dianalisis bingkai demi bingkai melalui anggaran postur (pose estimation). Sebuah laman web responsif memperkenalkan projek ini serta menawarkan penyelidikan, model dan set data tersebut untuk muat turun secara percuma. Matlamatnya adalah untuk mengurangkan jurang komunikasi.

Pengiktirafan

Mengenai A' Design Award Besi

Ensenas Alat Komunikasi ialah pemenang A' Design Award Besi, pengiktirafan yang berprestij yang dianugerahkan kepada reka bentuk yang baik yang memenuhi keperluan profesional dan industri yang dijangka daripada ciptaan yang direka dengan baik. Pemenang Besi menunjukkan kemahiran yang besar, kepakaran yang tinggi, kefahaman pakar dan keupayaan kreatif penciptanya. Ensenas Alat Komunikasi diharapkan menjadi ciptaan yang sangat dihargai, dikagumi dan disayangi yang praktikal dan inovatif. Reka bentuk pemenang A' Design Award Besi ini menyepadukan amalan terbaik industri dan mempunyai ciri teknikal yang kompeten yang dikaitkan dengan kepakaran dan bakat. Ensenas Alat Komunikasi dihormati kerana ketelitiannya dan direka untuk memberikan peningkatan kualiti hidup yang membantu menjadikan dunia tempat yang lebih baik.

Di Sebalik Reka Bentuk

Kit Akhbar

Kredit, ahli pasukan dan butiran teknikal yang disediakan oleh pereka.

Ciri-Ciri Unik: 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.
Dimensi & Pembungkusan: This is a model in a website, whit a responsive design.
Tag: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Teknologi Pengeluaran: 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.
Cabaran Reka Bentuk: 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.
Penyelidikan: 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.
Inspirasi: 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.
Tempoh Projek: 6 months on Universidad de Montery and Monterrey City in México
Ahli Pasukan: Saeli Seira Sáenz
Alana Betanzo Carriles