A novel approach for lie detection based on F-score and extreme learning machine.
A new machine learning method referred to as F-score_ELM was proposed to classify the lying and truth-telling using the electroencephalogram (EEG) signals from 28 guilty and innocent subjects. Thirty-one features were extracted from the probe responses from these subjects. Then, a recently-developed...
Guardado en:
Autores principales: | Junfeng Gao, Zhao Wang, Yong Yang, Wenjia Zhang, Chunyi Tao, Jinan Guan, Nini Rao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4f16b0f03e7c473183c7da2ddeb073fa |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
THEORETICAL MULTIPLE ANALYSIS OF EXTREMAL RESULTS PHENOMENOLOGY LIES
por: A. Tarasov
Publicado: (2018) -
Covert lie detection using keyboard dynamics
por: Merylin Monaro, et al.
Publicado: (2018) -
Introduction: On Lying
por: Alessandra Molinari
Publicado: (2021) -
An Online Network Intrusion Detection Model Based on Improved Regularized Extreme Learning Machine
por: Yanqiang Tang, et al.
Publicado: (2021) -
Horses’ Use of Lying Halls and Time Budget in Relation to Available Lying Area
por: Linda Kjellberg, et al.
Publicado: (2021)