• Kartic Kaushal
• Dr. Mahesh Pawar
• Dr. Sachin Goyal
• Dr. Ratish Agrawal

Emotions are believed to be extremely potent for analyzing the condition of mind. Emotion recognition is a discipline that has been in existence for a long time and so several models have been proposed so far. Many researchers have classified human emotions in terms of two sovereign variables, namely Arousal, and Valence. EEG recordings contain too much noise, thus, we use a combination of discrete features for emotion detection. This study covers recent works on different stages like EEG signal acquisition, features extraction, classification of emotion and conclusions from various studies. A brief description about all of the techniques along with a comparison of all of them has been presented here.

EEG; Feature Extraction; Emotion Detection; Valence and Arousal

"Emotion Classification from EEG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.162-166, July-2018, Available :http://www.jetir.org/papers/JETIR1807491.pdf

"Emotion Classification from EEG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp162-166, July-2018, Available at : http://www.jetir.org/papers/JETIR1807491.pdf