Ensenas เครື່องมືສື່ສານ by Saeli Seira Saenz and Alana Betanzo Carriles is a highly esteemed winner of the very prestigious 2023 A' Design Award ລະດັບເຫຼັກ in ການອອກແບບສັງຄົມ Competition Category.
ເຫຼັກສັງຄົມ· 2023
Ensenas เครື່องมືສື່ສານ
by Saeli Seira Saenz and Alana Betanzo Carriles
Client: Universidad de Monterrey
A' Design Award ລະດັບເຫຼັກ Winner in ສັງຄົມ Category
- 34,628
- Verified Award Winner
- Verify Award Status for #149366
The Design
About Ensenas เครື່องมືສື່ສານ
Ensenas ແມ່ນເຄື່ອງມືດິຈິຕອນທີ່ຖືກສ້າງຂຶ້ນເພື່ອປັບປຸງການສື່ສານລະຫວ່າງຄົນທີ່ມີຄວາມພິການທາງການໄດ້ຍິນ ແລະ ຄົນທົ່ວໄປໃນປະເທດເມັກຊິໂກ. Ensenas ນຳໃຊ້ໂມເດວການຮຽນຮູ້ຂອງເຄື່ອງຈັກ (machine learning) ທີ່ສາມາດອ່ານພາສາມືຂອງເມັກຊິໂກໄດ້ໃນເວລາຈິງ ແລະ ແປຄຳສັບເປັນພາສາສະເປນແບບຂຽນ. ໂມເດວນີ້ໄດ້ຖືກຝຶກສອນດ້ວຍຊຸດຂໍ້ມູນວິດີໂອ 400 ຄລິບຂອງທ່າສັນຍາທີ່ໃຊ້ທົ່ວໄປ, ຊຶ່ງໄດ້ຖືກຕິດປ້າຍ ແລະ ວິເຄາະເທື່ອລະເຟຣມ ໂດຍໃຊ້ເຕັກນິກການປະເມີນທ່າທາງ (pose estimation). ເວັບໄຊທ໌ທີ່ສາມາດປັບໃຫ້ເໝາະສົມກັບອຸປະກອນຕ່າງໆ (responsive website) ຖືກນຳມາໃຊ້ເພື່ອນຳສະເໜີໂຄງການ ພ້ອມທັງເປີດໃຫ້ດາວໂຫລດງານວິໄຈ, ໂມເດວ ແລະ ຊຸດຂໍ້ມູນໄດ້ຟຣີ. ຈຸດໝາຍຂອງໂຄງການນີ້ແມ່ນເພື່ອຫຼຸດຜ່ອນຄວາມແຕກແຍກໃນການສື່ສານ.
The Recognition
About the A' Design Award ລະດັບເຫຼັກ
Ensenas เครື່องมືສື່ສານ ແມ່ນຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ເຊິ່ງເປັນການຍອມຮັບທີ່ມີກຽດສຳລັບການອອກແບບທີ່ດີ ທີ່ຕອບສະໜອງຄວາມຕ້ອງການທາງວິຊາຊີບ ແລະ ອຸດສາຫະກຳທີ່ຄາດຫວັງຈາກຜົນງານທີ່ອອກແບບມາຢ່າງດີ. ຜູ້ຊະນະລະດັບເຫຼັກສະແດງເຖິງທັກສະອັນຍິ່ງໃຫຍ່ ຄວາມຊຳນານສະເພາະສູງ ຄວາມເຂົ້າໃຈຂອງຜູ້ຊ່ຽວຊານ ແລະ ຄວາມສາມາດໃນການສ້າງສັນຂອງຜູ້ສ້າງ. Ensenas เครື່องมືສື່ສານ ຖືກຄາດວ່າຈະເປັນຜົນງານທີ່ໄດ້ຮັບການຍົກຍ້ອງສູງ ໜ້າຊົມເຊີຍ ແລະ ເປັນທີ່ຮັກແພງ ທີ່ໃຊ້ງານໄດ້ຈິງ ແລະ ມີນະວັດຕະກຳ. ການອອກແບບທີ່ຊະນະລະດັບເຫຼັກນີ້ລວມວິທີປະຕິບັດທີ່ດີທີ່ສຸດຂອງອຸດສາຫະກຳ ແລະ ມີຄຸນລັກສະນະທາງເຕັກນິກທີ່ມີຄວາມສາມາດ ເຊື່ອມໂຍງກັບຄວາມຮູ້ ແລະ ພອນສະຫວັນ. Ensenas เครື່องมືສື່ສານ ໄດ້ຮັບການເຄົາລົບສຳລັບຄວາມລະອຽດຮອບຄອບ ແລະ ຖືກອອກແບບເພື່ອປັບປຸງຄຸນນະພາບຊີວິດ ຊ່ວຍເຮັດໃຫ້ໂລກເປັນບ່ອນທີ່ດີຂຶ້ນ.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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.
- Dimensions & Packaging
- This is a model in a website, whit a responsive design.
- Tags
- IA, Machine Learning, LSM, Data base, Service Design, education and tools, 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. - 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 Duration
- 6 months on Universidad de Montery and Monterrey City in México
- Team Members
- Saeli Seira Sáenz
Alana Betanzo Carriles
Sponsored
Explore Beyond Designers.org
Discover products, services and opportunities from our advertising partners.
More to Explore
Related Designs
Explore more award-winning designs from the same category, selected by merit.
