Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Enrique Escamilla-Hernandez"'
Autor:
Jorge Alberto Garza Abdala, ENRIQUE ESCAMILLA-HERNANDEZ, Oleg Kravchenko, Elizabeth García Rios, LUIS ENRIQUE RAMOS-VELASCO
Publikováno v:
Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI. 10:196-203
La necesidad de poder ofrecer a personas con discapacidad un sistema de comunicación de una manera mucho más efectiva nos lleva a realizar el presente trabajo donde se presenta un decodificador de parpadeos en código Morse. Para lograr la meta des
Autor:
Jonathan Flores-Monroy, Mariko Nakano-Miyatake, Hector Perez-Meana, Enrique Escamilla-Hernandez, Gabriel Sanchez-Perez
Drowsiness and driver distraction are considered the main causes of traffic accidents in the world. Considering this situation, this paper proposes two important modifications to our previously proposed driver drowsiness and distraction detector for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3e823f1d8e34d76990e2def8d8c1cc
https://doi.org/10.3233/faia220258
https://doi.org/10.3233/faia220258
Autor:
Mariko Nakano, ENRIQUE ESCAMILLA-HERNANDEZ, Gabriel Sanchez Perez, Hector PEREZ-MEANA, Jonathan Flores
Publikováno v:
Electronics; Volume 11; Issue 16; Pages: 2558
In this paper, we propose a portable device named SOMN_IA, to detect drowsiness and distraction in drivers. The SOMN_IA can be installed inside of any type of vehicle, and it operates in real time, alerting the dangerous state caused by drowsiness an
Autor:
Enrique Escamilla-Hernandez, Andres Hernandez-Matamoros, Hamido Fujita, Mariko Nakano-Miyatake, Hector Perez-Meana
Publikováno v:
Biocybernetics and Biomedical Engineering. 40:803-814
Heart disease is the principal cause of death across the globe and the ECG signals are used to diagnose it. The correct classification of this disease allows us the opportunity to apply a more focused treatment. ECG signals are fed into Automated Dia
Autor:
Mariko Nakano, ENRIQUE ESCAMILLA-HERNANDEZ, Gabriel Sanchez Perez, Hector PEREZ-MEANA, Jonathan Flores
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031077494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4cb147d7ba3e1c0b43cdc64863b7842
https://doi.org/10.1007/978-3-031-07750-0_8
https://doi.org/10.1007/978-3-031-07750-0_8
Autor:
Karina Ruby Perez Daniel, Enrique Escamilla Hernandez, Takayuki Nagai, Mariko Nakano Miyatake
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 61, Pp 146-157 (2011)
En este trabajo se presenta un modelo para el dibujo de objetos desconocidos. Aquí se describe una técnica que permite construir una idea visual del significado de una palabra, mediante imágenes recuperadas a través de internet, haciendo posible
Externí odkaz:
https://doaj.org/article/e67d2c868f814df599dc69d77f8f5b76
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Autor:
Hamido Fujita, Andres Hernandez-Matamoros, Hector Perez-Meana, Enrique Escamilla-Hernandez, Mariko Nakano-Miyatake
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:2859-2870
One of the most significant current discussions in Computer Science is the skin recognition. Many papers have studied the skin detection using different techniques, artificial vision, machine learning, deep learning among others. Despite its long suc
Autor:
Karina Ruby Perez Daniel, Enrique Escamilla Hernandez, Takayuki Nagai, Mariko Nakano Miyatake
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 61 (2012)
In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any pri
Externí odkaz:
https://doaj.org/article/e5877a74cad94baea9b9877877005106
Autor:
Enrique Escamilla Hernandez, Héctor Pérez Meana, Mariko Nakano Miyatake, Elizabeth Garcia Rios
Publikováno v:
IEEE Latin America Transactions. 15:1960-1966
This paper proposes a face recognition system with the capacity of achieving high recognition rates, even if the face image presents significant occlusion, using a wireframe model and a Facefit tool that acquires a coordinate system with fiducial poi