應用腦電波控制3D橫向卷軸遊戲以評估注意力訓練腦機介面系統

Using EEG Control a 3D Platform Game to Establish a Brian Computer Interface System of Attention Training Evaluation

腦機介面（brain computer interface, BCI）能夠將腦電訊號轉換成機械命令，近年來許多研究表明使用BCI系統能夠對神經相關疾病患者帶來益處，本研究利用結合腦電波（electroencephalogram, EEG）的BCI環境控制由unity設計之3D橫向捲軸式遊戲建立注意力訓練系統，利用可攜式腦波儀進行人類腦波量測，並將精神狀態利用演算法進行分類作為遊戲控制的條件，受測者為作者本人，多次訓練透過精神專注與放鬆的切換控制遊戲角色維持於預設軌跡上提升正確率，建立注意力訓練成效遊戲評估系統。本研究由作者分別於五天各進行十次實驗，平均正確率分別為62.6%，64.7%、65.1%、69.3%、69.3%，經多日實測及訓練後平均正確率有提高趨勢，並利用成對母體平均數差異t檢定得出對同一受測者正確率表現相對穩定，在對於幫助腦功能、運動功能損傷者，與了解人類腦電波控制有相當的幫助。期盼本系統未來能夠幫助腦功能損傷者延緩腦功能退化。

Brain computer interface （BCI）can convert electroencephalogram（EEG）signals into mechanical commands. In recent years, many studies have shown that the use of BCI systems can bring benefits to patients with neuro-related diseases. This study uses a BCI environment combined with EEG to control the 3D platform game designed by unity to establish an attention training system. Use a portable brain wave instrument to measure human brain waves and use algorithms to classify mental states as the conditions for game control. The test subject is the author himself. Through multiple trainings, the game character was maintained on the preset trajectory and improves the accurate rate through the switching of mental concentration and relaxation, and the attention training effectiveness of game evaluation system was established. In this study, the author conducted ten experiments in each of five days, and the average correct rates were 62.6%, 64.7%, 65.1%, 69.3%, and 69.3%. The t-test of the mean difference between the paired mothers shows that the correct rate of the same subject is relatively stable, which is quite helpful for helping those with brain and motor function impairments, and understanding the control of human brain waves. It is hoped that this system will help brain damage delay the degradation of brain function in the future.