Human Computer Interface (HCI) using EEG signals

There are many HCI system that has been built for the individuals with mobility issues, such as speech synthesizers, personal computer, neural prostheses and assistive appliances. However, it seems that EEG signal is the only method that allow the patient with DOC to interact with others, because patient with DOC could not provide adequate motor responses. Thus, an application for BCI is provide users with Disorders of Conscious (DOC) adequate expression in human to human interaction. In this research project, it is proposed that a phone application using BCI is designed and developed. EEG signal data will be collected from a number of participants by using a 5-channel EEG headset, Emotive Insight. After that, by comparing and analyzing the results which has been obtained through different training methods (aka “Special training method”), a phone application that allows the user to communicate through the usage of EEG signals is created. One of the research gap that this project plan to overcome; Expects at least 33.33% of the experimental group is managed to control the first command stably. Another research gap that this project plan to overcome; Expects 100% of the experimental group could at least control 2 commands with an accuracy of 80% after 8-hour training hours. For building this BCI, all of the tools and Software Development Kit (SDK) that will be used to develop with EMOTIV. The BCI is programmed by the Java language with a Student Pro license from Emotiv company in order to access raw data API. For the EEG data collection, this is a double-blind, randomized controlled trial (RCT) experiment. Every necessary background knowledge will be explained by experimenter before the first training session starts. Then, the experimenter will distribute an instruction to every participant randomly. The experimenter does not know which instruction is distributed to them, and the participants are not allowed to tell him the contents inside the instruction too. Thus, the participants do not know whether they are experimental group or control group. The experimenter does not know the participants belong to team 1 or team 2. Experimenter will unblind their groups, after the EEG data collection is completed. After the feedback and data have been recorded in a questionnaire, the EEG data will be analyzed, in order to evaluate the developed BCI performance.