Real time EEG based automatic brainwave regulation by music
| Autor: | A. M. Mahmud Chowdhury, Alamgir Hossan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Relaxation (psychology)
medicine.diagnostic_test Computer science Speech recognition 05 social sciences 02 engineering and technology Electroencephalography Entertainment Data acquisition Mood 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Algorithm design State (computer science) 050107 human factors Rabindra Sangeet |
| Zdroj: | 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV). |
| Popis: | In this paper, we proposed an approach to automatically regulate the mood or brainwave of the paralyzed or sensory impaired or psychologically sick people. A MATLAB based algorithm has been developed to analyze the brain wave signals obtained from a real time EEG data acquisition system corresponding to different moods of the subject people. The program translated the brain wave signals into command to select and play suitable music tracks according to the state of the brain. These music or sound tracks, selected based on the choice of the target people, acted in turn as a feedback to continuously adjust the subject's mood as desired. Relaxation music, subcontinental soft patriotic, Rabindra Sangeet & motivational songs were used as example for relaxation, entertainment and warm-up respectively. Sample stored EEG data of different patients having different moods were used to verify the feasibility of the approach and the obtained results ensured its effectiveness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|