ABSTRACT
Emotions play a significant role to an individual’s social interaction and response to his/her environment. Emotions may be observed and expressed through one’s facial expressions and physiological manifestations. As such, emotions may play a big role in advertisements as customers may be attracted to a product if they can relate with what is being shown in the advertisement. Video segments that elicit some emotional reactions may be identified by capturing facial expressions and physiological signals such as the brainwaves signals. With proper implementation of advertisements, the popularity, desirability and impact of a product to the viewers may be increased. This research aims to determine the appropriate machine learning models for emotion recognition using EEG and Facial Landmarks that can be used to create a system that can recognize emotions of an individual while watching commercial advertisements.
