Analysis and Classification of Evoked Potentials in Response to Familiar and Unfamiliar Faces

Brain activity during perception and recognition of faces have been studied by researchers with the purpose to develop brain-computer interfaces and to study neurological disorders. In this paper, we analyzed evoked potentials as neurophysiological indicators and developed a model based on signal pr...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2018

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/9204

Acceso en línea:

https://hdl.handle.net/20.500.12585/9204

Palabra clave:

Electroencephalography
Evoked potentials
Face recognition
Machine learning
Wavelet transform
Artificial intelligence
Bioelectric potentials
Biomedical signal processing
Brain
Brain computer interface
Electroencephalography
Electrophysiology
Learning systems
Neurophysiology
Wavelet transforms
Binomial logistic regressions
Classification accuracy
Classification results
Feature extraction stages
Machine learning techniques
Morphological analysis
Morphological characteristic
Perception and recognition
Face recognition

Rights

restrictedAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/