The system uses Mind Wave headset, Bluetooth module ,GSM Module,Arduino Microcontroller, LCD display and Alerting device like buzzer.īrain-computer interface research is a very current research area as is machine learning, although some of the concepts have been around for many years or even decades, these areas of research still garners a lot of interest. This system designed and developed a reliable, energy efficient for monitoring a person in coma state. Diagnostic applications generally focus on the spectral content of neural oscillations (popularly called "brain waves") that can be observed in Mind Wave headset. It measures voltage fluctuations resulting from ionic current within the neurons of the brain. The Mind Wave headset mainly consist of three parts, the sensor arm, adjustable head band and ear chip. It looks like a normal headset and easy to wear. It uses electrophysiological monitoring method to record electrical activity of the brain. Mind Wave headset is an advanced technology to capture the activities of the brain. Unconsciousness is a state of unawareness of self and environment of those mental activities by which people are made aware of themselves and their environment, coupled with a diminished responsiveness to environmental stimuli. The applications which have been demonstrated in this project are Brain Controlled Game Simulator, Brain Controlled Keyboard (for handicapped). EEG (Electroencephalography) was used to read brain waves and then those waves were analysed to fetch fruitful results which are used in certain applications. This project shows how Brain Computer Interfaces (BCI) works and how it can be used in certain applications. This technology is growing day by day and is proving to be one of the most important technologies in the current scenario. Works are being done in the field of military and skill improvement domains as well. The main use of this technology is in the field of medical science. This technology has been up in the airs since decades and a lot of work has already been done, but a lot is also remaining. In simple words, it creates an interface between the brain and the machine, allowing the machine to get input from human brain. Therefore, the Emotiv EPOC device may be more suitable for control tasks using the attention/meditation level or eye blinking than the Neurosky MindWave device.īrain Computer Interface is a leading technology in today’s world. The results of blinking recognition show that using the Neurosky device means recognition accuracy is less than 50%, while the Emotiv device has achieved a recognition accuracy of more than 75% for tasks that require concentration and relaxation of subjects, the Emotiv EPOC device has performed better (as measured by the recognition accuracy) by ∼9%. BCI illiteracy may be a significant problem, as well as setting up of the proper environment of the experiment. The results of statistical analysis show that both devices exhibit high variability and non-normality of attention and meditation data, which makes each of them difficult to use as an input to control tasks. The experimental evaluation of the devices, performed with 10 subjects asked to perform concentration/relaxation and blinking recognition tasks, is given. Problems with using the consumer-grade EEG devices (BCI illiteracy, poor technical characteristics, and adverse EEG artefacts) are discussed. We present the evaluation of two well-known, low-cost consumer-grade EEG devices: the Emotiv EPOC and the Neurosky MindWave.
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