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Memorias de investigación
Artículos en revistas:
OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer
Año:2018
Áreas de investigación
  • Ingenierías
Datos
Descripción
Eye-movement analysis has grown exponentially in recent decades. The reason is that abnormalities in oculomotor movements are usually symptoms of injuries in the nervous system. This paper presents a novel regulated solution named OSCANN. OSCANN aims at providing an innovative tool for the control, management and visualization of oculomotor neurological examinations. This solution utilizes an eye-tracker sensor based on video electro-oculography (VOG) technology to capture eye movements and store them in video files. Such a sensor can store images at a rate of 100 frames per second. A characterization study was performed using twenty-two volunteers (13 male, 9 female, ages 22?45 years, mean 29.3 years, SD = 6.7) to assess the accuracy and precision specifications of OSCANN during oculomotor movement analysis. The accuracy was evaluated based on the offset, whereas precision was estimated with Root Means Square (RMS). Such a study reported values lower than 0.4? and 0.03? of accuracy and precision, respectively. These results suggest that OSCANN can be considered as a powerful tool to measure oculomotor movement alterations involved in some neurological disease progression.
Internacional
Si
JCR del ISI
Si
Título de la revista
Sensors (Basel)
ISSN
1424-8220
Factor de impacto JCR
2,475
Información de impacto
Volumen
18
DOI
10.3390/s18020522
Número de revista
2
Desde la página
522
Hasta la página
532
Mes
FEBRERO
Ranking
Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Cecilia Elisabet Garcia Cena (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Robots y máquinas inteligentes
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