Title :
Spectral Analysis of physiological parameters for emotion detection
Author :
Valderrama, Camilo E. ; Ulloa, Gonzalo
Abstract :
This paper intends to be a literature review in the field of emotions detection using spectral analysis of neurological signals. It also shows the great boom in Brain Computer Interfaces (BCI) applications. Explains the research methodology used for this type of projects, and finally it highlights the results of several studies that have been done in this area.
Keywords :
brain-computer interfaces; discrete wavelet transforms; electroencephalography; emotion recognition; medical signal processing; neurophysiology; signal classification; spectral analysis; EEG; brain computer interface; discrete wavelet transform; emotion detection; intelligent classifier; neurological signal; physiological parameter; spectral analysis; Artificial neural networks; Brain modeling; Discrete wavelet transforms; Electroencephalography; Media; Support vector machines; Videos; Discrete Wavelet Transform; EEG measurements; Intelligent Classifiers; Neurological Signals;
Conference_Titel :
Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of
Conference_Location :
Antioquia
Print_ISBN :
978-1-4673-2759-6
DOI :
10.1109/STSIVA.2012.6340595