Ensenas Inneal Cumarsaide le Saeli Seira Saenz and Alana Betanzo Carriles

Tha Ensenas Inneal Cumarsaide le Saeli Seira Saenz and Alana Betanzo Carriles na bhuannaiche air leth urramach anns an fharpais chliùitich 2023 Duais Iarainn A' Design Award ann an Roinn Farpais Dealbhadh Sòisealta.

IarannSòisealta· 2023

Ensenas Inneal Cumarsaide

le Saeli Seira Saenz and Alana Betanzo Carriles

Neach-ceannach: Universidad de Monterrey

Buannaiche Duais Iarainn A' Design Award ann an Roinn Sòisealta

35,348

Buannaiche Duais Dearbhaichte

Dearbhaich Inbhe na Duaise airson #149366

Tadhail air an Làrach Seall aig A' Design Award Brath Naidheachd Suaicheantas Duaise

Dathan

An Dealbhadh

Mu dheidhinn Ensenas Inneal Cumarsaide

Is inneal digiteach a chaidh a chruthachadh gus conaltradh eadar daoine le ciorraman claisneachd agus daoine claisneach ann am Meagsago a leasachadh. Bidh Ensenas a' cleachdadh modail ionnsachadh-inneal a leughas Cànan Soidhnidh Meagsagach ann an fìor-àm agus a dh'eadar-theangaicheas faclan gu Spàinntis sgrìobhte. Chaidh am modail seo a thrèanadh le seata dàta de 400 bhidio de shoidhnichean cumanta, air an comharrachadh agus air an sgrùdadh frèam air frèam tro thuairmseachadh suidheachaidh cuirp. Bidh làrach-lìn freagarrach a' taisbeanadh a' phròiseict agus a' tabhann an rannsachaidh, am modail agus an seata dàta ri an luchdachadh a-nuas an-asgaidh. Is e an t-amas beàrn a' chonaltraidh a lughdachadh.

An Aithneachadh

Mu dheidhinn Duais Iarainn A' Design Award

Tha Ensenas Inneal Cumarsaide air Duais Iarainn A' Design Award a bhuannachadh, aithneachadh urramach a bheirear do dhealbhaidhean math a choinnicheas ris na riatanasan proifeiseanta is gnìomhachais a thathar a' sùileachadh bho chruthachaidhean a chaidh an dealbhadh gu math. Tha buannaichean Iarainn a' nochdadh sgil mhòr, speisealachadh àrd, tuigse eòlaiche agus comas cruthachail an luchd-cruthachaidh. Thathar an dùil gum bi Ensenas Inneal Cumarsaide na chruthachadh air a bheil mòran meas, ion-mholta agus gràdhach a tha practaigeach agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Iarainn A' Design Award a' cur nan cleachdaidhean as fheàrr sa ghnìomhachas còmhla agus tha feartan teignigeach comasach aige ceangailte ri eòlas-dèanamh agus tàlant. Tha meas air Ensenas Inneal Cumarsaide airson a dhùrachd agus chaidh a dhealbhadh gus leasachaidhean càileachd beatha a thoirt seachad a chuidicheas le bhith a' dèanamh an t-saoghail na àite nas fheàrr.

Air Cùl an Dealbhaidh

Pasgan Naidheachd

Creideasan, buill sgioba agus fiosrachadh teicnigeach a chuir an dealbhaiche ri chèile.

Feartan Sònraichte: 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.
Tomhasan & Pacadh: This is a model in a website, whit a responsive design.
Tagaichean: IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
Teicneòlas Cinneasachaidh: 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.
Dùbhlan Dealbhaidh: 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.
Rannsachadh: 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.
Brosnachadh: 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.
Faid a' Phròiseict: 6 months on Universidad de Montery and Monterrey City in México
Buill na Sgioba: Saeli Seira Sáenz
Alana Betanzo Carriles