Muundo Ensenas Chombo cha Mawasiliano na Saeli Seira Saenz and Alana Betanzo Carriles ni mshindi mashuhuri wa tuzo ya kifahari ya 2023 Tuzo ya Chuma ya A' Design Award katika Kategoria ya Mashindano ya Usanifu wa Kijamii.
ChumaKijamii· 2023
Ensenas Chombo cha Mawasiliano
na Saeli Seira Saenz and Alana Betanzo Carriles
Mteja: Universidad de Monterrey
Mshindi wa Tuzo ya Chuma ya A' Design Award katika Kategoria ya Kijamii
Mshindi wa Tuzo Aliyethibitishwa
Thibitisha Hali ya Tuzo kwa #149366Muundo
Kuhusu Ensenas Chombo cha Mawasiliano
Ensenas ni chombo cha kidijitali kilichobuniwa kuboresha mawasiliano kati ya watu wenye ulemavu wa kusikia na watu wanaosikia nchini Mexico. Ensenas hutumia mfumo wa kujifunza kwa mashine ambao husoma Lugha ya Ishara ya Mexico kwa wakati halisi na kutafsiri maneno kuwa Kihispania kilichoandikwa. Mfumo huo ulifundishwa kwa kutumia seti ya data ya video 400 za ishara za kawaida, zilizowekwa alama na kuchambuliwa fremu kwa fremu kupitia mbinu ya ukadiriaji wa mkao (pose estimation). Tovuti inayojibadilisha kulingana na kifaa (responsive website) inawasilisha mradi huu na kutoa fursa ya kupakua bila malipo utafiti, mfumo, na seti ya data. Lengo ni kupunguza pengo la mawasiliano.
Utambuzi
Kuhusu Tuzo ya Chuma ya A' Design Award
Ensenas Chombo cha Mawasiliano ni mshindi wa Tuzo ya Chuma ya A' Design Award, utambuzi wenye heshima unaotolewa kwa miundo mizuri inayokidhi mahitaji ya kitaalamu na ya kiviwanda yanayotarajiwa kutoka kwa kazi zilizobuniwa vizuri. Washindi wa Chuma huonyesha ustadi mkubwa, utaalamu wa hali ya juu, uelewa wa kitaalamu na uwezo wa kibunifu wa waumbaji wao. Ensenas Chombo cha Mawasiliano inatarajiwa kuwa kazi inayothaminiwa sana, kupendwa na kuenziwa, ambayo ni ya vitendo na bunifu. Muundo huu ulioshinda Tuzo ya Chuma ya A' Design Award unajumuisha mbinu bora za tasnia na una sifa za kiufundi zenye uwezo zilizounganishwa na ujuzi na kipaji. Ensenas Chombo cha Mawasiliano inaheshimiwa kwa uangalifu wake na imebuniwa kutoa maboresho ya ubora wa maisha yanayosaidia kuufanya ulimwengu kuwa mahali bora zaidi.
Nyuma ya Muundo
Vifaa vya Habari
Mikopo, wanachama wa timu na maelezo ya kiufundi yaliyotolewa na mbuni.
- Sifa za Kipekee
- 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.
- Vipimo na Ufungashaji
- This is a model in a website, whit a responsive design.
- Lebo
- IA, Machine Learning, LSM, Data base, Service Design, education and tools, Sign Language,
- Teknolojia ya Uzalishaji
- 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.
- Changamoto ya Ubunifu
- 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. - Utafiti
- 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. - Msukumo
- 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.
- Muda wa Mradi
- 6 months on Universidad de Montery and Monterrey City in México
- Wanatimu
- Saeli Seira Sáenz
Alana Betanzo Carriles
Imedhaminiwa
Gundua Zaidi ya Designers.org
Gundua bidhaa, huduma na fursa kutoka kwa washirika wetu wa matangazo.
Zaidi ya Kuchunguza
Miundo Inayohusiana
Chunguza miundo zaidi iliyoshinda tuzo kutoka kategoria hiyo hiyo, iliyochaguliwa kwa ubora.
