Human Emotions Detection using Brain Wave Signals

Computer Engineering

Here we focus on issues and challenges of research project that was designed to assess the different human emotions through Electroencephalogram (EEG). EEG measurement is noninvasive and inexpensive, and have a very high sensitivity to receive information about the internal (endogenous) changes of brain state, and offer a very high time resolution in the millisecond range. Because of the latter property, these data are particularly suited for studies on brain mechanisms of cognitive-emotional information processing which occurs in the millisecond range. It has been well known that specific cortical and sub-cortical brain system is utilized and have been differentiated by regional electrical activities according to the associated emotional states. There are important challenges we face while developing efficient EEG signals emotion recognition are: (i) designing a protocol to stimulate unique emotion than multiple emotions , (ii) develop a efficient algorithm for removing noises and artifacts from the EEG signal, (iii) utilize the suitable and efficient artificial intelligence technique to classify the emotions. In addition,emotional activities of the brain causes difference EEG characteristics waves, it has been attempted to investigate the brain activity related to emotion through analyzing EEG.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.