Ensenas Piranti Komunikasi dening Saeli Seira Saenz and Alana Betanzo Carriles

Karya Ensenas Piranti Komunikasi dening Saeli Seira Saenz and Alana Betanzo Carriles minangka pemenang sing diajeni banget saka A' Design Award Wesi 2023 sing bergengsi ing Kategori Kompetisi Desain Sosial.

WesiSosial· 2023

Ensenas Piranti Komunikasi

dening Saeli Seira Saenz and Alana Betanzo Carriles

Klien: Universidad de Monterrey

Pemenang A' Design Award Wesi ing Kategori Sosial

34,628

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #149366

Kunjungi Situs Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Ensenas Piranti Komunikasi

Ensenas iku piranti digital sing digawe kanggo ningkatake komunikasi antarane wong sing duwe kacacatan pangrungu lan wong sing bisa krungu ing Meksiko. Ensenas nggunakake model machine learning sing maca Basa Isyarat Meksiko kanthi real time lan nerjemahake tembung-tembung menyang basa Spanyol tulisan. Model iki dilatih nganggo dataset 400 video isyarat umum, sing dilabeli lan dianalisis frame per frame liwat pose estimation. Website sing responsif nampilake proyek iki lan nawakake riset, model, sarta dataset kanggo diunduh kanthi gratis. Tujuane yaiku ngurangi jurang komunikasi.

Pangakuan

Babagan A' Design Award Wesi

Ensenas Piranti Komunikasi menang A' Design Award Wesi, pangenalan sing prestisius sing diparingake marang desain sing apik sing nyukupi kabutuhan profesional lan industri sing dikarepake saka ciptaan sing dirancang kanthi apik. Pemenang Wesi nuduhake katrampilan sing gedhe, spesialisasi sing dhuwur, pangerten ahli lan kapasitas kreatif para penciptane. Ensenas Piranti Komunikasi dikarepake dadi ciptaan sing dihargai banget, dikagumi lan ditresnani sing praktis lan inovatif. Desain sing menang A' Design Award Wesi iki nggabungake praktik industri sing paling apik lan nduweni ciri teknis sing kompeten sing disambung karo kawruh lan bakat. Ensenas Piranti Komunikasi diajeni amarga ketelitiane lan dirancang kanggo nyedhiyakake paningkatan kualitas urip sing mbiyantu ndadekake donya panggonan sing luwih apik.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

Sifat 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.
Ukuran & Kemasan: 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 Produksi: 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.
Tantangan Desain: 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.
Riset: 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.
Durasi Proyek: 6 months on Universidad de Montery and Monterrey City in México
Anggota Tim: Saeli Seira Sáenz
Alana Betanzo Carriles