Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/84608
Título: | Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged |
---|---|
Autor/es: | Cruz, Edmanuel | Escalona, Félix | Bauer, Zuria | Cazorla, Miguel | Garcia-Rodriguez, Jose | Martinez-Martin, Ester | Rangel, José Carlos | Gomez-Donoso, Francisco |
Grupo/s de investigación o GITE: | Robótica y Visión Tridimensional (RoViT) | Informática Industrial y Redes de Computadores |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Palabras clave: | Automated schedule system | Social robot | Intellectually challenged |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 2-dic-2018 |
Editor: | Hindawi Publishing Corporation |
Cita bibliográfica: | Computational Intelligence and Neuroscience. Volume 2018, Article ID 4350272, 17 pages. doi:10.1155/2018/4350272 |
Resumen: | The accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and even almost permanent overseers that help them to carry out diary tasks. With this issue in mind, we propose an automated schedule system which is deployed on a social robot. The robot keeps track of the tasks that the patient has to fulfill in a diary basis. When a task is triggered, the robot guides the patient through its completion. The system is also able to detect if the steps are being properly carried out or not, issuing alerts in that case. To do so, an ensemble of deep learning techniques is used. The schedule is customizable by the carers and authorized relatives. Our system could enhance the quality of life of the patients and improve their self-autonomy. The experimentation, which was supervised by the ADACEA foundation, validates the achievement of these goals. |
Patrocinador/es: | This work has been supported by the Spanish Government TIN2016-76515R Grant, supported with FEDER funds. Edmanuel Cruz is funded by a Panamanian grant for PhD studies IFARHU & SENACYT 270-2016-207. Jose Carlos Rangel was supported by the National System of Research (SNI) of the SENACYT of Panama. This work has also been supported by a Spanish grant for PhD studies ACIF/2017/243 and FPU16/00887. |
URI: | http://hdl.handle.net/10045/84608 |
ISSN: | 1687-5265 (Print) | 1687-5273 (Online) |
DOI: | 10.1155/2018/4350272 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2018 Edmanuel Cruz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1155/2018/4350272 |
Aparece en las colecciones: | INV - I2RC - Artículos de Revistas INV - RoViT - Artículos de Revistas INV - AIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2018_Cruz_etal_ComputIntelNeurosci.pdf | 5,82 MB | Adobe PDF | Abrir Vista previa | |
Este ítem está licenciado bajo Licencia Creative Commons