Fusion of EEG, EMG, and ECG Signals for Accurate Recognition of Pain, Happiness, and Disgust

With the spotlight on emotional intelligence development in machines, advancements in the field of human computer interactions have gained importance. Emotion identification is particularly important in today's world, where people have developed social behavior masking abilities. This paper explores a fusion of EEG (electroencephalogram), EMG (electromyography) and ECG (electrocardiography) to detect human emotions such as pain, happiness, and disgust. This work becomes prominent in the use of affective computing methods for developing optimized human computer interactions. Systems built using this approach can adapt to users' emotional states providing a refined, personalized approach. Furthermore, this effort can aid in the development of apparatus that can be used in cases where people are unable to physically show emotion, such as facial paralysis. The proposed method is unique in that it combines all three - EEG, ECG, and EMG.