Background

Electroencephalography (EEG) is a technique that is used to record electrical activity of the brain along the scalp. EEG Electroencephalography (EEG) is a technique that is used to record electrical activity of the brain along the scalp. EEG measures voltage fluctuations resulting from ionic current within the neurons of the brain.[1] Nowadays, there are many kinds of well-developed EEG devices, such as Emotiv headset and MUSE headband which can be easily bought in retail and online stores. However, the main purpose of these devices is for entertaining, so they are not particularly designed to synchronize with several programming languages and computing environments. For the Emotiv headset, the LabVIEW Emotiv Toolkit enables programmers to acquire raw data from the headset and then manipulate the data in the LabVIEW environment. Namely, with the toolkit, the EEG signals can be the source for brain-computer interface (BCI). For example, with the headset on, one can achieve the real-time control of a robot by simply clenching his/her fist. This is actually one of the projects in ESE 297 Introduction to Undergraduate Research.

However, there is one problem of using Emotiv headset with LabVIEW toolkit: in order to make the facial or body gesture controls work in a proper way, users firstly need to calibrate the Emotiv headset manually. Usually, this can be done by collecting training data for over five minutes and then setting up an approximate threshold to eliminate noises. Thus, comparing to the Emotive headset, MUSE headband, which has a self-calibration feature, is a better choice for BCI.

[1] Niedermeyer E. and da Silva F.L. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincot Williams & Wilkins. (2004).