Más Información
Sheinbaum anuncia obras de infraestructura en Nayarit; destaca puente que irá de Bahía de Banderas a Puerto Vallarta y un acueducto
Detienen a presunto jefe de célula delictiva allegada a Los Chapitos; se encargaba de narcomenudeo y compra-venta de armamento
“¡Arráncate, Coalcomán!”; así fue la campaña de Anavel Ávila, presuntamente ligada al “Mencho”, para Movimiento Ciudadano
Presupuesto para programas sociales está asegurado en la Constitución: Ariadna Montiel; destaca que se benefician a 320 mil nayaritas
Sheinbaum anuncia construcción de Farmacias del Bienestar en 2025; asegura habrá medicamentos gratuitos para personas vulnerables
“Corrupción se quedó en el pasado”, asegura Sheinbaum; afirma que gobierno no tocará recursos del pueblo
Students from the Higher Mechanical and Electrical Engineering School (ESIME) at the National Polytechnic Institute (IPN) have developed a smartphone app to detect and analyze hand movements in order to facilitate the learning of sign language in Mexico .
The app is still at the prototype phase, and will allow people to communicate with those using sing language, since it has been equipped with the Mexican sign language alphabet, allowing for the user to form simple sentences.
The app was developed by Tania Giselle Alcántara Medina and Omar García Vázquez , both undergraduate engineering students who, with the help of doctor Jorge Fernando Veloz Ortiz , a professor at ESIME, have developed a first version of the sign language learning system as part of their degree project.
In an interview with the information agency of Mexico’s National Council for Science and Technology (CONACYT) , Alcántara Medina explained that the system they developed was divided in two phases: One for learning and one for practive.
“The learning phase is divided into four categories which are: colors, numbers, family, and food , which are thought to be fundamental for any person to interact with others with a speech impediment.” Stated the student.
In the meantime, García Vázquez explained that the practice phase is based on a thresholding algorithm to identify objects (in this case, hands), allowing the system to read the user’s hand movements and ensure that the lesson is well executed.
“What we want is for any person with a mid-range to high-end smartphone to be able to use our system, even without internet access (once the app has been successfully downloaded),” García Vázquez added.
dm