Controlling DC motor Using Eye Blink Signals Based on LabVIEW Zhi-Hao, Wang
Hendrick
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected] * corresponding author
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected]
Yu-Fan, Kung
Chuan-Te, Chan
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected]
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected]
Shi-Hao, Lin
Gwo-Jia, Jong
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected]
National Kaohsiung University of Applied Sciences Kaohsiung City, Taiwan
[email protected]
Abstract—The EEG signal was the signal that represents brain activity. Usually, there two kind measurements to get the EEG; invasive method and non-invasive method. The EEG signal is not only used by the doctors but also used by the engineer to do a research. BCI (brain computer interface) was used by the engineer to get the EEG data from a human head. The EOG (electrooculogram) was produced when eye blink. The EOG signals are one of signal that forms EEG signals. This research implemented eye blink as a command to turn on and turn off motor through wireless communication. In the future, this EEG signal will use to control wheel chair to help disability people who cannot use their hand or legs. This research used NeuroSky MindWave to record EEG signal, myRIO to control dc motor and LabVIEW to the program. To control the dc motor, the command double eye blink and triple eye blink was used. in its style sheet. Keywords—component; formatting; style; styling; insert (key words)
I.
INTRODUCTION
Electroencephalogram (EEG) is an electrical signal that figure brain activity is taken from the human scalp and noninvasive method was used to monitor the signals[1]. The device used to perform the signal measurement is called electrocardiogram. Usually, the recording process is done for 20-40 minutes in the clinical context. So it is known brain activity in the vulnerable time. Generally, the device used for measurement of minimum EEG signals is mounted about 70 electrodes on the scalp of the patient.
For the determination of electrode mounting point, it must be measured in advance of the patient's head circle to determine its midpoint. Next will be determined all the necessary points. Until later, there is a measurement point called FP1, FP2, F7, F3, FZ, F4, F8, T3, C3, CZ, T4, T5, P3, PZ, P4, T6, O1, and O2. With so many points(sensors) mounted on the head will make patients feel uncomfortable due to the many sensors attach to their heads. Maybe be for some case, it is not a problem, but for daily monitoring would be inconvenient installation process. In the engineering field, BCI (Brain Computer Interface) is the field of science that do research about EEG signals. In this modern technology, The researcher is trying to implement this signal to help handy cap doing their activity like normal people. The research that has done by the researcher: to control prosthetic arm[２], to control wheel chair[3]. The EEG signal is Not only used in controlling device to help people but also to analyze people emotion in some condition[4]. The aim of this research is to implement single dry sensor, which is called NeuroSky MindWave device, and to observe EEG signal which contains EOG(ElectroOculoGram) signal, attention, and meditation. Those signal will be used to control DC motor using LabVIEW myRIO. To achieve this goal, the system was formed of NeuroSky MindWave device and LabVIEW programming.
II.
METHODS AND PROCEDURES
Fig. 3. Eye blinking signals
Fig. 1. Conceptual Block Diagram
Fig 1 shown our proposed system. The EEG signals were recorded using NeuroSky mind-wave sensor which connected to the notebook using Bluetooth communication. To make sure data measurement, the data was compared with NeuroSky software which shows in Fig 2[]. The notebook and myRIO device was connected to the same access point and will transfer data using TCP/IP protocol. The simple Messaging (STM) library was used to do the TCP/IP protocols.
B. NeuroSky MindWave The NeuroSky MindWave is a device which only has a single dry sensor which shows on fig 4[5]. The NeuroSky MindWave consists of the electrode sensor that placed on the forehead above the left eye and the reference that placed on the ear clip. The NeuroSky MindaWave sampling rate is 512 Hz. The device is easy to use and supported with AAA batteries.
Fig. 2. NeuroSky MindWave
Fig. 4. NeuroSky Mindware
A. Eye Blink Signal(EOG) The EOG signal was extracted from EEG signal which has specified frequencies for each signal. The Alpha, Beta, Gamma, and Theta are the signal that forms EEG signal. Table 1 shows the frequency of each signal. Each of signals has their own frequency range to operate.
C. LabVIEW myRIO In order to make this system become a real-time system, LabVIEW myRIO was used to support the system. The myRIO is the embedded device that has features I/O such as analog IO, digital IO and with WIFI support. This device can be programmed with LABVIEW or C language. In this system, myRIO will process the information to control DC motor. Internal WIFI of myRIO will use to interface with laptop via access point in the network. The device will be stand-alone controller by embedded the program into myRIO operating system.
TABLE I. BRAIN WAVE TYPE DELTA THETA ALPHA BETA GAMMA
TABLE STYLES
FREQUENCY SPECTRUM (HZ) 0,1-0,3 4,0-7,5 8,0-12,0 13,0-30,0 30,0-50,0
AMPLITUDE (µv) 100-200
