Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV

Jesús Alpaca Rendón; José Esquicha Tejada; Karina Rosas Paredes

doi:10.18687/LACCEI2017.1.1.223

Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV

Translated title of the contribution: Hospitalized patients caring system using Raspberry Pi with megapixel camera and OpenCV

Jesús Alpaca Rendón, José Esquicha Tejada, Karina Rosas Paredes

Professional School of Systems Engineering

Universidad Católica de Santa María

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This article presents a proposal to improve hospitalized patients caring, using emerging technologies such Raspberry Pi board and its megapixel camera module. For the implementation of the proposal we used Python programming language, with the OpenCV library that was programmed inside the board. In addition, it was implemented a web server with Django to monitor the patient remotely. The tests performed are shown, so that by making signs with the patient's hand in front of the megapixel camera, the system will recognize the movements and a call will be issued to the care staff (doctors, nurses and / or auxiliaries) depending on the Need of the patient.

Translated title of the contribution	Hospitalized patients caring system using Raspberry Pi with megapixel camera and OpenCV
Original language	Spanish
Title of host publication	15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtitle of host publication	Global Partnership for Development and Engineering Education, LACCEI 2017
Editors	Humberto Alvarez, Maria M. Larrondo Petrie
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9780999344309
DOIs	https://doi.org/10.18687/LACCEI2017.1.1.223
State	Published - 2017
Event	15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017 - Boca Raton, United States Duration: 19 Jul 2017 → 21 Jul 2017

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2017-July
ISSN (Electronic)	2414-6390

Conference

Conference	15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017
Country/Territory	United States
City	Boca Raton
Period	19/07/17 → 21/07/17

Access to Document

10.18687/LACCEI2017.1.1.223

Cite this

Alpaca Rendón, J., Esquicha Tejada, J., & Rosas Paredes, K. (2017). Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV. In H. Alvarez, & M. M. L. Petrie (Eds.), 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: Global Partnership for Development and Engineering Education, LACCEI 2017 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2017-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2017.1.1.223

Alpaca Rendón, Jesús ; Esquicha Tejada, José ; Rosas Paredes, Karina. / Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV. 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: Global Partnership for Development and Engineering Education, LACCEI 2017. editor / Humberto Alvarez ; Maria M. Larrondo Petrie. Latin American and Caribbean Consortium of Engineering Institutions, 2017. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{35cc0005a8ca4a12a627dcb9fd143622,

title = "Sistema de atenci{\'o}n a pacientes hospitalizados utilizando Raspberry Pi con C{\'a}mara Megap{\'i}xel y OpenCV",

abstract = "This article presents a proposal to improve hospitalized patients caring, using emerging technologies such Raspberry Pi board and its megapixel camera module. For the implementation of the proposal we used Python programming language, with the OpenCV library that was programmed inside the board. In addition, it was implemented a web server with Django to monitor the patient remotely. The tests performed are shown, so that by making signs with the patient's hand in front of the megapixel camera, the system will recognize the movements and a call will be issued to the care staff (doctors, nurses and / or auxiliaries) depending on the Need of the patient.",

keywords = "Hospitalized Patients, OpenCV, Pattern Recognition, Raspberry Pi, Web Platform",

author = "{Alpaca Rend{\'o}n}, Jes{\'u}s and {Esquicha Tejada}, Jos{\'e} and {Rosas Paredes}, Karina",

note = "Publisher Copyright: {\textcopyright} 2017 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017 ; Conference date: 19-07-2017 Through 21-07-2017",

year = "2017",

doi = "10.18687/LACCEI2017.1.1.223",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

publisher = "Latin American and Caribbean Consortium of Engineering Institutions",

editor = "Humberto Alvarez and Petrie, {Maria M. Larrondo}",

booktitle = "15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology",

}

Alpaca Rendón, J, Esquicha Tejada, J & Rosas Paredes, K 2017, Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV. in H Alvarez & MML Petrie (eds), 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: Global Partnership for Development and Engineering Education, LACCEI 2017. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2017-July, Latin American and Caribbean Consortium of Engineering Institutions, 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017, Boca Raton, United States, 19/07/17. https://doi.org/10.18687/LACCEI2017.1.1.223

Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV. / Alpaca Rendón, Jesús; Esquicha Tejada, José ; Rosas Paredes, Karina.
15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: Global Partnership for Development and Engineering Education, LACCEI 2017. ed. / Humberto Alvarez; Maria M. Larrondo Petrie. Latin American and Caribbean Consortium of Engineering Institutions, 2017. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2017-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV

AU - Alpaca Rendón, Jesús

AU - Esquicha Tejada, José

AU - Rosas Paredes, Karina

PY - 2017

Y1 - 2017

N2 - This article presents a proposal to improve hospitalized patients caring, using emerging technologies such Raspberry Pi board and its megapixel camera module. For the implementation of the proposal we used Python programming language, with the OpenCV library that was programmed inside the board. In addition, it was implemented a web server with Django to monitor the patient remotely. The tests performed are shown, so that by making signs with the patient's hand in front of the megapixel camera, the system will recognize the movements and a call will be issued to the care staff (doctors, nurses and / or auxiliaries) depending on the Need of the patient.

AB - This article presents a proposal to improve hospitalized patients caring, using emerging technologies such Raspberry Pi board and its megapixel camera module. For the implementation of the proposal we used Python programming language, with the OpenCV library that was programmed inside the board. In addition, it was implemented a web server with Django to monitor the patient remotely. The tests performed are shown, so that by making signs with the patient's hand in front of the megapixel camera, the system will recognize the movements and a call will be issued to the care staff (doctors, nurses and / or auxiliaries) depending on the Need of the patient.

KW - Hospitalized Patients

KW - OpenCV

KW - Pattern Recognition

KW - Raspberry Pi

KW - Web Platform

UR - http://www.scopus.com/inward/record.url?scp=85046248210&partnerID=8YFLogxK

U2 - 10.18687/LACCEI2017.1.1.223

DO - 10.18687/LACCEI2017.1.1.223

M3 - Contribución a la conferencia

AN - SCOPUS:85046248210

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology

A2 - Alvarez, Humberto

A2 - Petrie, Maria M. Larrondo

PB - Latin American and Caribbean Consortium of Engineering Institutions

T2 - 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017

Y2 - 19 July 2017 through 21 July 2017

ER -

Alpaca Rendón J, Esquicha Tejada J , Rosas Paredes K. Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV. In Alvarez H, Petrie MML, editors, 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: Global Partnership for Development and Engineering Education, LACCEI 2017. Latin American and Caribbean Consortium of Engineering Institutions. 2017. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2017.1.1.223

Sistema de atención a pacientes hospitalizados utilizando Raspberry Pi con Cámara Megapíxel y OpenCV

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this