EEG-Based Emotion Classification Using Wavelet Decomposition and K-Nearest Neighbor

Agfianto Eko Putra, Catur Atmaji, and Fajrul Ghaleb
In the area of affective computing technology, the classification of emotions can be used for a variety of things such as health, entertainment, education, etc. This study determined the classification of emotions based on EEG (Electroencephalography) signals, which is emotions are classified according to the 2-dimensional graphics modeling [...]

Continue reading about EEG-Based Emotion Classification Using Wavelet Decomposition and K-Nearest Neighbor

Catur Atmaji, Agfianto Eko Putra, and Irvan Albab Tontowi
Many research on how the human brain works have been done in the last century. The use of electroencephalogram signal generated from quantifying the brainwave has been developed in many areas including the development of brain-computer interface (BCI) concept. One type of BCI that interesting for the [...]

Continue reading about Three-Class Classification of EEG Signals Using Support Vector Machine Methods