Brain-Computer Interface: The Mindwave Mobile Interactive Device for Brainwave Monitoring
Brain-Computer Interface: The Mindwave Mobile Interactive Device for Brainwave Monitoring
Author(s): Iordache BeatriceSubject(s): Music, Neuropsychology
Published by: MediaMusica
Keywords: EEG; brain-computer Interface; mindwave mobile headset; attention; concentration; meditation; relaxation; frequency band; music
Summary/Abstract: The idea of using brain activity as a path to communicate with external devices quickly evolved in the last decades. Brain-reading technologies are starting to be used in different life areas, since we have companies that launched such innovative tools on the market. In this matter, the most common method for measuring and observing the brain activity is the electroencephalogram (EEG), used mainly in the medical field with important research related to disability problems. In the enthusiastic attempt to discover the complexity of the brain, researchers sought for a way to reproduce all its intricated functionsas accurately as the possibilities of the latest tehnology can. A Brain-Computer Interface (BCI) represents a direct communication path between the active brain and an external device, a graphic result of it’s monitoring process in real time. This article presents a type of device of this kind, the MindWave Mobile by NeuroSky, through which we can observe and analyse the electrical activity of the brain. The different levels of frequency of the brainwave signal are related to cognitive function like attention, and meditation. Based on NeuroSky’s own developed eSense algorithms, MindWave Mobile can detect even the very subtle levels of attention and meditation, each of them being calculated and updated every second, as seen on the monitor of the device that’s paired with. This paper also presents a related experiment using the EEG device regarding the effect of music on different people, in terms of the concentration and relaxation levels.
Journal: Cogniție Muzicală
- Issue Year: 1/2017
- Issue No: 1
- Page Range: 43-52
- Page Count: 10
- Language: English