A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers' Using Teacher's.

Barreto, Candida; Bruneri, Guilherme de Albuquerque; Brockington, Guilherme; Ayaz, Hasan; Sato, Joao Ricardo

Barreto, Candida; Bruneri, Guilherme de Albuquerque; Brockington, Guilherme; Ayaz, Hasan; Sato, Joao Ricardo.

Afiliação

Barreto C; Center of Mathematics, Computing and Cognition, Federal University of ABC, Sao Bernardo do Campo, Brazil.
Bruneri GA; Physics Institute, Federal University of São Paulo, São Paulo, Brazil.
Brockington G; Center for Natural and Human Sciences, Universidade Federal do ABC, Santo André, Brazil.
Ayaz H; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.
Sato JR; Department of Psychology, College of Arts and Sciences, Drexel University, Philadelphia, PA, United States.

Front Hum Neurosci ; 15: 622146, 2021.

Article em En | MEDLINE | ID: mdl-34025373

Palavras-chave

fNIRS; hyperscanning; machine learning; support vector regression; teacher-student interaction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Hum Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

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