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https://hdl.handle.net/10495/37294
Título : | Characterization framework for ex-combatants based on EEG and behavioral features |
Autor : | Quintero Zea, Andrés Sepúlveda Cano, Lina M. Rodríguez Calvache, Mónica Viviana Trujillo Orrego, Sandra Patricia Trujillo Orrego, Natalia López Hincapié, José David |
metadata.dc.subject.*: | Electroencefalografía Electroencephalography Aprendizaje Automático Supervisado Supervised Machine Learning Excombatientes Ex-combatants |
Fecha de publicación : | 2017 |
Editorial : | Springer International Federation for Medical & Biological Engineering |
Citación : | Quintero Zea, Andrés & Sepúlveda-Cano, Lina & Calvache, Mónica & Trujillo, Sandra & Trujillo, Natalia & Lopez, Jose. (2017). Characterization Framework for Ex-combatants Based on EEG and Behavioral Features. 10.1007/978-981-10-4086-3_52. |
Resumen : | ABSTRACT: This paper presents a framework to characterize the emotional processing of Colombian ex-combatants from illegal groups. The classification process is performed using EEG-ERP data and behavioral features from psychological tests. The results show that ex-combatant and civilian populations can be automatically separated using supervised techniques. With this, we can provide a decision support system for psychologists to improve current interventions aimed to help ex-combatants to make a successful reintegration to civilian life. |
ISSN : | 1680-0737 |
metadata.dc.identifier.doi: | 10.1007/978-981-10-4086-3_52 |
Aparece en las colecciones: | Artículos de Revista en Ingeniería |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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QuinteroAndres_2016_CharacterizationFrameworkEXcombatants.pdf | Artículo de investigación | 374.62 kB | Adobe PDF | Visualizar/Abrir |
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