Eye movement based emotion recognition using electrooculography

摘要: Emotions play a vibrant role in life as the human reaction or response to system is purely based on nature of his emotion, may it be computer fellow mates. The need and significance automatic emotion recognition have grown with emergent interface applications development AI companions self-assistance system. machine learning systems has paved brighter way for optimistic yet accurate recognizing systems. Emotion can done from any form person such text, speech, facial expression gesture. proposed introduces an system, eye movement using electrooculography (EOG) signals. Based EOG signals emotions are classified — happy, sad, angry, fear pleasant. Multi-class Support Vector Machines used classifying processed Electrooculography feature extraction ICA (Independent Component Analysis) used. Using these techniques, recognized inputted augmented reality (AR) where humans interact respond