An approach to emotion recognition in single-channel EEG signals: a mother child interaction

In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness

• Autores: Gómez, A.; Quintero, L.; López, N.; Castro, J.; Gómez, A.; Quintero, L.; López, N.; Castro, J.
• Fecha de publicación: 2016
• Institución: Universidad EAFIT
• Repositorio: Repositorio EAFIT
• Idioma: eng
• OAI Identifier: oai:repository.eafit.edu.co:10784/8372
• Acceso en línea: http://hdl.handle.net/10784/8372
• Palabra clave: Sistemas dinámicos; Atractores (Matemáticas); ELECTROENCEFALOGRAFÍA; REDES NEURALES (COMPUTADORES); EMOCIONES; PROCESOS DE BIFURCACIÓN; PROCESOS ESTOCÁSTICOS; COMUNICACIÓN NO VERBAL; EXPRESIÓN; PROCESAMIENTO DE SEÑALES; MADRE E HIJO; SISTEMAS DE RECONOCIMIENTO; Electroencephalography; Neural networks (Computer science); Emotions; Branching processes; Stochastic processes; Nonverbal communication; Expression; Signal processing; Mother and child; Recognition systems; Electroencephalography; Neural networks (Computer science); Emotions; Branching processes; Stochastic processes; Nonverbal communication; Expression; Signal processing; Mother and child; Recognition systems; Sistemas dinámicos; Atractores (Matemáticas)
• License: Acceso abierto