Abstract—The usual body-powered prosthetics is tiring and lead to compliance and restoration problems. Brain computer interface (BCI) prosthetic is one of the advanced technologies opening up new possibility in providing healthcare solutions for people with severe motor impairment. Generally, electroencephalography (EEG) is historically dominated by BCI researchers for prosthetics control. An issue with EEG user BCI researchers are tend to use invasive recording methods, posing surgical risks to generate control signals from brain activity patterns. This paper aims at reviewing the conceptual design for a non-invasive approach for controlling a prosthetic hand using an Emotiv EEG Headset integrated with a graphical user interface (GUI) designed in LabVIEW. EEG signals were recorded from healthy subjects through brain wave rhythm at F3 and FC5 of motor cortex area focusing on the artifact of upper limb movement; finger flexion-rest-extension. Five healthy subjects was selected for the conceptual proof and controlling a robot hand. The accuracies of data classification for the finger movement for all subjects exceeding the 50% for binary classification with average of 57.96%. This device can be used for paralyzed individuals with limited communication to control prosthetics using simple GUI. 
 

Index Terms—electroencephalography, emotiv EPOC, LabVIEW, prosthetic hand

Cite: Muhammad Azmi Ayub, Aainaa Zainal, Khairunnisa Johar, Noor Ayuni Che Zakaria, and Cheng Yee Low, "LabVIEW GUI for Emotiv EPOC of Prosthetic Hand Control," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 7, No. 4, pp. 190-194, October 2018. Doi: 10.18178/ijeetc.7.4.190-194