Ensenas Hana Kumu: Mea Kamaʻilio na Saeli Seira Saenz and Alana Betanzo Carriles

ʻO Ensenas Hana Kumu: Mea Kamaʻilio na Saeli Seira Saenz and Alana Betanzo Carriles he mea lanakila hanohano loa o ka 2023 A' Design Award Hao ma ka Māhele Hoʻokūkū Hoʻolālā Kaiāulu.

HaoKaiāulu· 2023

Ensenas Hana Kumu: Mea Kamaʻilio

na Saeli Seira Saenz and Alana Betanzo Carriles

Mea Kūʻai: Universidad de Monterrey

Mea Lanakila A' Design Award Hao ma ka Māhele Kaiāulu

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Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #149366

Kipa i ka Pūnaewele Nānā ma A' Design Award Hoʻolaha Nūhou Hōʻailona Makana

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Ensenas Hana Kumu: Mea Kamaʻilio

Kikokikona Puke: ʻO Ensenas kahi mea kikohoʻe i hana ʻia e hoʻomaikaʻi i ke kamaʻilio ma waena o nā poʻe pōkole lohe a me nā poʻe lohe maoli ma Mekiko. Hoʻohana ʻo Ensenas i kahi kumu hoʻohālikelike aʻo mīkini e heluhelu ana i ka ʻŌlelo Hōʻailona Mekiko i ka manawa maoli a unuhi i nā huaʻōlelo i loko o ka ʻSepania kākau. Ua aʻo ʻia ke kumu hoʻohālikelike me kahi hōʻiliʻili ʻikepili o 400 wikiō o nā hōʻailona maʻamau, i kāpaʻia a nānā ʻia i kēlā me kēia kiʻi ma o ka koho kūlana kino. Hōʻike aku kahi pūnaewele pane koho i ka papahana a hāʻawi manuahi i ka noiʻi, ke kumu hoʻohālikelike, a me ka hōʻiliʻili ʻikepili no ka lawe manuahi. ʻO ka pahuhopu, ʻo ia ka hoʻēmi ʻana i ka māwae kamaʻilio.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Hao

Ua lanakila ka hoʻolālā Ensenas Hana Kumu: Mea Kamaʻilio i ka A' Design Award Hao, he ʻike hoʻohanohano i hāʻawi ʻia i nā hoʻolālā maikaʻi e hoʻokō ana i nā koi ʻoihana a ʻoihana hana i manaʻo ʻia mai nā mea hoʻokumu i hana maikaʻi ʻia. Hōʻike nā lanakila Hao i ka mākau nui, ka loea kiʻekiʻe, ka ʻike akamai a me ka hiki hana noʻeau o ka poʻe i hana iā lākou. Manaʻo ʻia ʻo ka hoʻolālā Ensenas Hana Kumu: Mea Kamaʻilio he mea hoʻokumu i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia e pono a hou. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Hao e hoʻohui ana i nā hana maikaʻi loa o ka ʻoihana a loaʻa nā ʻano ʻenehana mākaukau i hui pū ʻia me ka ʻike hana a me ka makakoho. Mahalo ʻia ka hoʻolālā Ensenas Hana Kumu: Mea Kamaʻilio no kona nānā pono a ua hoʻolālā ʻia e hāʻawi i nā hoʻomaikaʻi ola e kōkua ai i ka hana ʻana i ka honua i wahi maikaʻi aku.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa: 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.
Nā Ana a me ka Hoʻopili: This is a model in a website, whit a responsive design.
Nā Lepili: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
ʻEnehana Hana: 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.
Pilikia Hoʻolālā: 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.
Noiʻi: 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.
Hoʻoulu Manaʻo: 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.
Ka Lōʻihi o ka Papahana: 6 months on Universidad de Montery and Monterrey City in México
Nā Lālā Hui: Saeli Seira Sáenz
Alana Betanzo Carriles