Mind your thoughts: BCI using single EEG electrode

Abstract

These days, the Internet of things (IoT) research is driving large-scale development and deployment of many innovative applications. IoT has indeed brought many smart applications to the doorstep of users. IoT has also made it possible to connect many sensors and control equipment. Here, the authors address an important application for physically challenged. The authors present a brain–computer interface (BCI) system to lock/unlock a wheelchair and control its movements using BCI. The approach presented here uses NeuroSky's MindWave Mobile, a single electrode electroencephalography (EEG) headset that can be connected to any Bluetooth-enabled system. The raw EEG data from the headset is processed on an Android mobile device to extract the electromyography (EMG) patterns that occur due to eye blinks and activity of muscles in the jaw. These patterns are used to control the movement of a wheelchair in all possible directions. A biometric security system is provided to lock and unlock the wheelchair by extracting the information about different brain waves from the raw EEG signal. In this system, only the user knows the password which is generated using brain waves and it can lock/unlock the wheelchair and control it. The proposed system was verified and evaluated using a prototype.

Keywords

• Bluetooth
• mobile computing
• handicapped aids
• biometrics (access control)
• electroencephalography
• brain-computer interfaces
• medical signal processing
• control engineering computing
• biomedical electrodes
• Internet of Things
• smart applications
• IoT
• sensors
• control equipment
• brain–computer interface system
• BCI
• wheelchair
• single electrode electroencephalography headset
• raw EEG data
• Android mobile device
• electroencephalography patterns
• biometric security system
• raw EEG signal
• large-scale development
• innovative applications
• brain waves
• EEG electrode
• Internet of Things research
• NeuroSky MindWave Mobile