Implementation of Brain Computer Interface for Stress Management

  • Ms. Manoja Weerasekara ,Senior Lecturer / Head ,Department of Information and Systems Sciences ,Faculty of Computing
  • Prabath Weerasinghe ,NSBM Green University Town Pitipana, Homagama, Sri Lanka (prabath@nsbm.lk)
  • W.A.S.M.Wickramaarachchi ,NSBM Green University Town Pitipana, Homagama, Sri Lanka

This paper presents a stress identification system implementation, which contains an EEG Headset, a noninvasive type of brain – to – machine interfacing on which the brainwave patterns such as attention, meditation, and eye blink is acquired directly on the person’s scalp. Electroencephalography (EEG) is also being examined at the time of detection where the Gamma, Beta, Alpha, Theta, and Delta brain waves are considered. The system implementation consists of two main functional modules: stress detection unit and stress visualization unit. The stress detection unit based on the analysis of EEG waves using Neurosky Mindwave EEG headset. The captured waves are then transferred to the stress visualization unit where it displays the signals in the form of a virtual fish tank, programmed to change the swimming position of a fish according to the stress levels. The development of this type of system is not only convenient but also it is portable and affordable.

Keywords— Brain Computer Interaction, stress, EEG

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