Title :
A study on non-invasive brainwave optimization
Author :
Seah Jia-Wei; Chin Siew Wen
Author_Institution :
KDU Coll., Georgetown, Malaysia
Abstract :
A study on non-invasive brainwave optimization provides a system capable of detecting emotional imbalances among users and attempt to help the user achieve emotional equilibrium via music playback. From this system, a study can be done on the relationship between EEG signals with emotions and music. Four emotions are chosen for this study namely engagement, excitement, meditation and frustration. By understanding this relationship, diagnosis of an emotional imbalance can be done and brainwave optimization can be implemented in the place of medication when treating emotional imbalances. This paper shows that emotions can be distinguished by examining the EEG waveform in the power density spectrum. The difference of EEG waveforms before and after optimization for the aforementioned emotions is shown to demonstrate the effect of music on emotions.
Conference_Titel :
Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014, International Conference on
Print_ISBN :
978-1-84919-970-4
DOI :
10.1049/cp.2014.1530