Cargando…
A Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes
INTRODUCTION: Studies have repeatedly stated the importance of individual differences in the problem of emotion recognition. The primary focus of this study is to predict Heart Rate Variability (HRV) changes due to affective stimuli from the individual characteristics. These features include age (A)...
Autores principales: | Goshvarpour, Ateke, Goshvarpour, Atefeh, Abbasi, Ataollah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Neuroscience Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706293/ https://www.ncbi.nlm.nih.gov/pubmed/36457877 http://dx.doi.org/10.32598/bcn.2021.632.3 |
Ejemplares similares
-
Evaluating Autonomic Parameters: The Role of Sleep Duration in Emotional Responses to Music
por: Goshvarpour, Atefeh, et al.
Publicado: (2016) -
An accurate emotion recognition system using ECG and GSR signals and matching pursuit method
por: Goshvarpour, Atefeh, et al.
Publicado: (2017) -
Affective Visual Stimuli: Characterization of the Picture Sequences Impacts by Means of Nonlinear Approaches
por: Goshvarpour, Ateke, et al.
Publicado: (2015) -
Emotion Recognition Using a Novel Granger Causality Quantifier and Combined Electrodes of EEG
por: Goshvarpour, Atefeh, et al.
Publicado: (2023) -
Asymmetry of lagged Poincare plot in heart rate signals during meditation
por: Goshvarpour, Atefeh, et al.
Publicado: (2020)