Design and Evaluation of a Vision-Based UI for People with Large Cognitive-Motor Disabilities
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Título: | Design and Evaluation of a Vision-Based UI for People with Large Cognitive-Motor Disabilities |
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Autor/es: | Martínez, Sergio | Peñalver Benavent, Antonio | Sáez Martínez, Juan Manuel |
Grupo/s de investigación o GITE: | Laboratorio de Investigación en Visión Móvil (MVRLab) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Brain Damage | Rehabilitation | Disabilities | Vision-Based User Interface |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | 30-abr-2021 |
Editor: | Scientific Research Publishing |
Cita bibliográfica: | Journal of Biomedical Science and Engineering. 2021, 14(4): 185-201. https://doi.org/10.4236/jbise.2021.144016 |
Resumen: | Recovering from multiple traumatic brain injury (TBI) is a very difficult task, depending on the severity of the lesions, the affected parts of the brain and the level of damage (locomotor, cognitive or sensory). Although there are some software platforms to help these patients to recover part of the lost capacity, the variety of existing lesions and the different degree to which they affect the patient, do not allow the generalization of the appropriate treatments and tools in each case. The aim of this work is to design and evaluate a machine vision-based UI (User Interface) allowing patients with a high level of injury to interact with a computer. This UI will be a tool for the therapy they follow and a way to communicate with their environment. The interface provides a set of specific activities, developed in collaboration with the multidisciplinary team that is currently evaluating each patient, to be used as a part of the therapy they receive. The system has been successfully tested with two patients whose degree of disability prevents them from using other types of platforms. |
URI: | http://hdl.handle.net/10045/114909 |
ISSN: | 1937-6871 (Print) | 1937-688X (Online) |
DOI: | 10.4236/jbise.2021.144016 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2021 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.4236/jbise.2021.144016 |
Aparece en las colecciones: | INV - MVRLab - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Martinez_etal_2021_JBiomedSciEng.pdf | 6,6 MB | Adobe PDF | Abrir Vista previa | |
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