REMoDNaV: robust eye-movement classification for dynamic stimulation.

Dar, Asim H; Wagner, Adina S; Hanke, Michael

Dar, Asim H; Wagner, Adina S; Hanke, Michael.

Afiliação

Dar AH; Special Lab Non-Invasive Brain Imaging, Leibniz Institute for Neurobiology, Brenneckestraße 6, Magdeburg, Germany.
Wagner AS; Psychoinformatics Lab, Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.
Hanke M; Psychoinformatics Lab, Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany. michael.hanke@gmail.com.

Behav Res Methods ; 53(1): 399-414, 2021 02.

Article em En | MEDLINE | ID: mdl-32710238

Assuntos

Movimentos Oculares; Acompanhamento Ocular Uniforme; Algoritmos; Humanos; Estimulação Luminosa; Movimentos Sacádicos; Software

Palavras-chave

Adaptive classification algorithm; Adaptive threshold algorithm; Data preprocessing; Eye tracking; Glissade classification; Saccade classification algorithm; Statistical saccade analysis

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acompanhamento Ocular Uniforme / Movimentos Oculares Limite: Humans Idioma: En Revista: Behav Res Methods Assunto da revista: CIENCIAS DO COMPORTAMENTO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

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